Publications


Faculty in the AI department at IIT-Hyderabad consistently publish in high-impact, high-visibility conferences and journals in various areas of AI, including ICML, NeurIPS, CVPR, ICCV, ACL, AAAI, IJCAI, ICASSP, InterSpeech, ICIP, etc. Please see below for a list of recent selected publications.


SELECTED PUBLICATIONS

(For a complete list, please see each faculty's profile)

  1. Tejasri N ,Ujwal Sai G, Kumar A and P. Rajalakshmi " Deep Learning Based Overcomplete Representations for Paddy Rice Crop and Weed Segmentation" IEEE International Geoscience and Remote Sensing Symposium (pp. 6077-6080) IEEE 2022 .

  2. Bhavanam, S. R., Channappayya, S. S., Srijith, P. K., and Desai, S. (2022b). Cosmic Ray rejection with attention augmented deep learning. In Astronomy and Computing (Vol. 40). Elsevier B.V. Link

  3. Bhave, A., Kulkarni, S., Desai, S., and Srijith, P. K. (2022). Two dimensional clustering of Gamma-Ray Bursts using durations and hardness. In Astrophysics and Space Science (Vol. 367, Issue 4). Springer Science and Business Media B.V. Link

  4. Burnwal, S. P., and Vidyasagar, M. (2022). Modified Error Bounds for Matrix Completion and Application to RL. In IEEE Control Systems Letters (Vol. 6, pp. 1916–1921). Institute of Electrical and Electronics Engineers Inc. Link

  5. Burnwal, S. P., Sinha, K., and Vidyasagar, M. (2022). New and explicit constructions of unbalanced Ramanujan bipartite graphs. In Ramanujan Journal (Vol. 57, Issue 3, pp. 1043–1069). Springer. Link

  6. Chandrakanth, V., Channappayya, S. S., and Singh, S. (2022). Multi-Channel Radar Signal Processor Design for Detection of Multiple Manoeuvring Targets. In Proceedings International Radar Symposium (Vols. 2022-September, pp. 57–62). IEEE Computer Society. Link

  7. Ghosh, S., Maji, S., and Desarkar, M. S. (2022a). Effective Utilization of Labeled Data from Related Tasks Using Graph Contrastive Pretraining. In Proceedings of the ACM Symposium on Applied Computing (pp. 875–878). Association for Computing Machinery. Link

  8. Babu M, N. P., Gawande, M., and Rajalakshmi, P. (2022). Autonomous Emergency Breaking (AEB) Evaluation For Indian Traffic Scenarios using GPS and LiDAR Data. In 2022 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022 (pp. 655–660). Institute of Electrical and Electronics Engineers Inc. Link

  9. Chandrakanth, V., Murthy, V. S. N., and Channappayya, S. S. (2022). UAV-based autonomous detection and tracking of beyond visual range (BVR) non-stationary targets using deep learning. In Journal of Real-Time Image Processing (Vol. 19, Issue 2, pp. 345–361). Springer Science and Business Media Deutschland GmbH. Link

  10. Das, S., Dhamal, S., Ghalme, G., Jain, S., and Gujar, S. (2022a). Individual Fairness in Feature-Based Pricing for Monopoly Markets. In Proceedings of Machine Learning Research (Vol. 180, pp. 486–495). ML Research Press. Link

  11. Das, S., Dhamal, S., Ghalme, G., Jain, S., and Gujar, S. (2022b). Individual Fairness in Feature-Based Pricing for Monopoly Markets. In Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022 (pp. 486–495). Association For Uncertainty in Artificial Intelligence (AUAI). Link

  12. Babu M, N. P., Kumar Duba, P., Sriram, G. C., and Rajalakshmi, P. (2022). Autonomous Bio-Inspired Micro Aerial Vehicle (MAV). In 2022 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022 (pp. 661–666). Institute of Electrical and Electronics Engineers Inc. Link

  13. Dash, S., Balasubramanian, V. N., and Sharma, A. (2022). Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals. In Proceedings—2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022 (pp. 3879–3888). Institute of Electrical and Electronics Engineers Inc. Link

  14. Ashok, A., Devaguptapu, C., and Balasubramanian, V. N. (2022). Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract). In Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022 (Vol. 36, pp. 12905–12906). Association for the Advancement of Artificial Intelligence. Link

  15. De, A., and Desarkar, M. S. (2022). Multi-Context Based Neural Approach for COVID-19 Fake-News Detection. In WWW 2022—Companion Proceedings of the Web Conference 2022 (pp. 852–859). Association for Computing Machinery, Inc. Link

  16. Arun Kumar, S., Pal, A., Mopuri, K. R., and Krishna Gorthi, R. (2022). Adv-Cut Paste: Semantic adversarial class specific data augmentation technique for object detection. In Proceedings—International Conference on Pattern Recognition (Vols. 2022-August, pp. 3632–3638). Institute of Electrical and Electronics Engineers Inc. Link

  17. Dey, S., Kummara, R., and Desarkar, M. S. (2022). Towards Fair Evaluation of Dialogue State Tracking by Flexible Incorporation of Turn-level Performances. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (Vol. 2, pp. 318–324). Association for Computational Linguistics (ACL). Link

  18. Dittakavi, B., Bavikadi, D., Desai, S. V., Chakraborty, S., Reddy, N., Balasubramanian, V. N., Callepalli, B., and Sharma, A. (2022). Pose Tutor: An Explainable System for Pose Correction in the Wild. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (Vols. 2022-June, pp. 3539–3548). IEEE Computer Society. Link

  19. Garg, P., Saluja, R., Balasubramanian, V. N., Arora, C., Subramanian, A., and Jawahar, C. V. (2022). Multi-Domain Incremental Learning for Semantic Segmentation. In Proceedings—2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022 (pp. 2080–2090). Institute of Electrical and Electronics Engineers Inc. Link

  20. Ghalme, G., Nair, V., Patil, V., and Zhou, Y. (2022). Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS (Vol. 1, pp. 525–533). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). Link

  21. Kandiyal, H., and Sastry, C. S. (2022). Kernels for Incoherent Projection and Orthogonal Matching Pursuit. In Communications in Computer and Information Science: Vol. 1567 CCIS (pp. 398–406). Springer Science and Business Media Deutschland GmbH. Link

  22. Sarkar, A., Vijaykeerthy, D., Sarkar, A., and Balasubramanian, V. N. (2022). A Framework for Learning Ante-hoc Explainable Models via Concepts. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Vols. 2022-June, pp. 10276–10285). IEEE Computer Society. Link

  23. Khargharia, H. S., Jayaraman, P. P., Banerjee, A., Zaslavsky, A., Hassani, A., Abken, A., and Kumar, A. (2022). Probabilistic analysis of context caching in Internet of Things applications. In Proceedings—2022 IEEE International Conference on Services Computing, SCC 2022 (pp. 93–103). Institute of Electrical and Electronics Engineers Inc. Link

  24. Sonkar, M., Sasmal, P., Theeda, P., and Sastry, C. S. (2022). Sparsity-driven deterministic sampling strategy for coded aperture x-ray computed tomography. In Measurement Science and Technology (Vol. 33, Issue 3). IOP Publishing Ltd. Link

  25. Rajanala, S., Pal, A., Singh, M., Phan, R. C.-W., and Wong, K. (2022). DeSCoVeR: Debiased Semantic Context Prior for Venue Recommendation. In SIGIR 2022—Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 2456–2461). Association for Computing Machinery, Inc. Link

  26. Khindkar, V., Arora, C., Balasubramanian, V. N., Subramanian, A., Saluja, R., and Jawahar, C. V. (2022). To miss-attend is to misalign! Residual Self-Attentive Feature Alignment for Adapting Object Detectors. In Proceedings—2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022 (pp. 376–386). Institute of Electrical and Electronics Engineers Inc. Link

  27. Reddy, A. G., Benin Godfrey, L., and Balasubramanian, V. N. (2022). On Causally Disentangled Representations. In Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022 (Vol. 36, pp. 8089–8097). Association for the Advancement of Artificial Intelligence. Link

  28. Roy, D., Ishizaka, T., Mohan, C. K., and Fukuda, A. (2022). Detection of Collision-Prone Vehicle Behavior at Intersections Using Siamese Interaction LSTM. In IEEE Transactions on Intelligent Transportation Systems (Vol. 23, Issue 4, pp. 3137–3147). Institute of Electrical and Electronics Engineers Inc. Link

  29. Bhavanam, S. R., Channappayya, S. S., Srijith, P. K., and Desai, S. (2022a). Cosmic Ray Detection in Astronomical Images via Dictionary Learning and Sparse Representation. In European Signal Processing Conference (Vols. 2022-August, pp. 1966–1970). European Signal Processing Conference, EUSIPCO. Link

  30. Sai, G. U., Tejasri, N., Kumar, A., and Rajalakshmi, P. (2022). Deep Learning Based Overcomplete Representations for Paddy Rice Crop and Weed Segmentation. In International Geoscience and Remote Sensing Symposium (IGARSS) (Vols. 2022-July, pp. 6077–6080). Institute of Electrical and Electronics Engineers Inc. Link

  31. Bhatia, P., Sinha, A., Joshi, S. P., Sarkar, R., Ghosh, R., and Jana, S. (2022). Automated Quantification of Inflamed Lung Regions in Chest CT by UNet++ and SegCaps: A Comparative Analysis in COVID-19 Cases. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (Vols. 2022-July, pp. 3785–3788). Institute of Electrical and Electronics Engineers Inc. Link

  32. Bhange, P., Kumar Joshi, D., Acharyya, A., Pandu, S. K., Mankari, K., Acharyya, S. G., and Sridhar, K. (2022). Phase Space Reconstruction Based Real Time Fatigue Crack Growth Estimation for Structural Health Monitoring Ships. In 2022 IEEE 13th Latin American Symposium on Circuits and Systems, LASCAS 2022. Institute of Electrical and Electronics Engineers Inc. Link

  33. Gundlapalle, V., and Acharyya, A. (2022). A Novel Single Lead to 12-Lead ECG Reconstruction Methodology Using Convolutional Neural Networks and LSTM. In 2022 IEEE 13th Latin American Symposium on Circuits and Systems, LASCAS 2022. Institute of Electrical and Electronics Engineers Inc. Link

  34. Gunapati, G., Jain, A., Srijith, P. K., and Desai, S. (2022). Variational inference as an alternative to MCMC for parameter estimation and model selection. In Publications of the Astronomical Society of Australia (Vol. 39). Cambridge University Press. Link

  35. Babu, M. N. P., Basa, S., Duba, P. K., and Rajalakshmi, P. (2022). Future Mobility with eVTOL Personal Air Vehicle (PAV): Urban Air Mobility (UAM) Concept. In Lecture Notes in Electrical Engineering: Vol. 893 LNEE (pp. 323–337). Springer Science and Business Media Deutschland GmbH. Link

  36. Gupta, M., and Jayaram, B. (2022). Fuzzy compatibility relations and pseudo-monometrics: Some correspondences. In Fuzzy Sets and Systems (Vol. 451, pp. 342–360). Elsevier B.V. Link

  37. Gowriprasad, R., Venkatesh, V., and Murty K, S. R. (2022). Tabla Gharānā Recognition from Tabla Solo Recordings. In 2022 National Conference on Communications, NCC 2022 (pp. 59–63). Institute of Electrical and Electronics Engineers Inc. Link

  38. Kamath, S., Deshpande, A., Subrahmanyam, K. V., and Balasubramanian, V. N. (2022). Universalization of Any Adversarial Attack using Very Few Test Examples. In ACM International Conference Proceeding Series (pp. 72–80). Association for Computing Machinery. Link

  39. Kalithasan, N., Gupta, M., and Jayaram, B. (2022). Making Fractional Distances work in the presence of White Noise—Motivation and Challenges. In ACM International Conference Proceeding Series (pp. 294–295). Association for Computing Machinery. Link

  40. Kakileti, S. T., Shrivastava, R., Manjunath, G., Vidyasagar, M., and Graewingholt, A. (2022). Automated vascular analysis of breast thermograms with interpretable features. In Journal of Medical Imaging (Vol. 9, Issue 4). SPIE. Link

  41. Joshi, D., Yadao, S., Bhange, P., Sunil Kumar, P., Mankari, K., Acharyya, A., and Ghosh Acharyya, S. (2022). FCNet: Deep Learning Architecture for Classification of Fatigue and Corrosion Acoustic Emission Signal. In 20th IEEE International Interregional NEWCAS Conference, NEWCAS 2022—Proceedings (pp. 538–541). Institute of Electrical and Electronics Engineers Inc. Link

  42. Joshi, A., Vishnu, C., and Mohan, C. K. (2022). Early detection of earthquake magnitude based on stacked ensemble model. In Journal of Asian Earth Sciences: X (Vol. 8). Elsevier Ltd. Link

  43. Joseph, K. J., Rajasegaran, J., Khan, S., Khan, F. S., and Balasubramanian, V. N. (2022). Incremental Object Detection via Meta-Learning. In IEEE Transactions on Pattern Analysis and Machine Intelligence (Vol. 44, Issue 12, pp. 9209–9216). IEEE Computer Society. Link

  44. Joseph, K. J., Paul, S., Aggarwal, G., Biswas, S., Rai, P., Han, K., and Balasubramanian, V. N. (2022a). Novel Class Discovery Without Forgetting. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol. 13684 LNCS (pp. 570–586). Springer Science and Business Media Deutschland GmbH. Link

  45. Gupta, R., Srijith, P. K., and Desai, S. (2022). Galaxy morphology classification using neural ordinary differential equations. In Astronomy and Computing (Vol. 38). Elsevier B.V. Link

  46. Joseph, K. J., Khan, S., Khan, F. S., Anwer, R. M., and Balasubramanian, V. N. (2022). Energy-based Latent Aligner for Incremental Learning. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Vols. 2022-June, pp. 7442–7451). IEEE Computer Society. Link

  47. Jayanth Krishnan, K., and Mitra, K. (2022). A modified Kohonen map algorithm for clustering time series data. In Expert Systems with Applications (Vol. 201). Elsevier Ltd. Link

  48. Jandial, S., Khasbage, Y., Pal, A., Balasubramanian, V. N., and Krishnamurthy, B. (2022). Distilling the Undistillable: Learning from a Nasty Teacher. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol. 13673 LNCS (pp. 587–603). Springer Science and Business Media Deutschland GmbH. Link

  49. Jain, A., Das, P., and Acharyya, A. (2022). Artificial Neural Network Based Post-CTS QoR Report Prediction. In Proceedings—IEEE International Symposium on Circuits and Systems (Vols. 2022-May, pp. 682–686). Institute of Electrical and Electronics Engineers Inc. Link

  50. Inoue, T., Nakagawa, Y., Wada, R., Miyoshi, K., Abe, S., Kuroda, K., Nishi, M., Bilen, H., and Mopuri, K. R. (2022). Early Stuck Detection Using Supervised and Unsupervised Machine Learning Approaches. In Offshore Technology Conference Asia, OTCA 2022. Offshore Technology Conference. Link

  51. Inapakurthi, R. K., and Mitra, K. (2022c). System Identification and Process Modelling of Dynamic Systems Using Machine Learning. In 2022 26th International Conference on System Theory, Control and Computing, ICSTCC 2022—Proceedings (pp. 564–569). Institute of Electrical and Electronics Engineers Inc. Link

  52. Joseph, K. J., Paul, S., Aggarwal, G., Biswas, S., Rai, P., Han, K., and Balasubramanian, V. N. (2022b). Spacing Loss for Discovering Novel Categories. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (Vols. 2022-June, pp. 3760–3765). IEEE Computer Society. Link

  53. Ashok, A., Joseph, K. J., and Balasubramanian, V. N. (2022). Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol. 13687 LNCS (pp. 105–122). Springer Science and Business Media Deutschland GmbH. Link

  54. Ghosh, S., Maji, S., and Desarkar, M. S. (2022b). GNoM: Graph Neural Network Enhanced Language Models for Disaster Related Multilingual Text Classification. In ACM International Conference Proceeding Series (pp. 55–65). Association for Computing Machinery. Link

  55. Chalavadi, V., Jeripothula, P., Datla, R., Ch, S. B., and C, K. M. (2022). mSODANet: A network for multi-scale object detection in aerial images using hierarchical dilated convolutions. In Pattern Recognition (Vol. 126). Elsevier Ltd. Link

  56. Keswani, M., Ramakrishnan, S., Reddy, N., and Balasubramanian, V. N. (2022). Proto2Proto: Can you recognize the car, the way I do? In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Vols. 2022-June, pp. 10223–10233). IEEE Computer Society. Link

  57. Bagora, A., Shrestha, K., Maurya, K., and Desarkar, M. S. (2022). Hostility Detection in Online Hindi-English Code-Mixed Conversations. In ACM International Conference Proceeding Series (pp. 390–400). Association for Computing Machinery. Link " Link

  58. Balasubramanian, V. N. (2022). Toward explainable deep learning. In Communications of the ACM (Vol. 65, Issue 11, pp. 68–69). Association for Computing Machinery. Link

  59. Bhange, P., Joshi, D. K., Pandu, S. K., Mankari, K., Acharyya, S. G., Sridhar, K., and Acharyya, A. (2022). Real-Time Fatigue Crack Growth Rate Estimation Methodology for Structural Health Monitoring of Ships. In IEEE Sensors Journal (Vol. 22, Issue 20, pp. 19729–19738). Institute of Electrical and Electronics Engineers Inc. Link

  60. Bharath, R., Santhosh Reddy, D., and Rajalakshmi, P. (2022a). A SoC-Based Programmable Portable Ultrasound Scanning System for Point-of-Care Applications and Clinical Research Activities. In SN Computer Science (Vol. 3, Issue 5). Springer. Link

  61. Sankala, S., Shaik Mohammad Rafi, B., and Sri Rama Murty, K. (2022). MULTI-FEATURE INTEGRATION FOR SPEAKER EMBEDDING EXTRACTION. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing—Proceedings (Vols. 2022-May, pp. 7957–7961). Institute of Electrical and Electronics Engineers Inc. Link

  62. Bharath, R., Santhosh Reddy, D., and Rajalakshmi, P. (2022b). Correction to: A SoC-Based Programmable Portable Ultrasound Scanning System for Point-of-Care Applications and Clinical Research Activities (SN Computer Science, (2022), 3, 5, (349), 10.1007/s42979-022-01241-7). In SN Computer Science (Vol. 3, Issue 5). Springer. Link

  63. Sankararao, A. U. G., Rajalakshmi, P., Kaliamoorthy, S., and Choudhary, S. (2022). Water Stress Detection in Pearl Millet Canopy with Selected Wavebands using UAV Based Hyperspectral Imaging and Machine Learning. In 2022 IEEE Sensors Applications Symposium, SAS 2022—Proceedings. Institute of Electrical and Electronics Engineers Inc. Link

  64. Madisetty, S., and Desarkar, M. S. (2022). A reranking-based tweet retrieval approach for planned events. In World Wide Web (Vol. 25, Issue 1, pp. 23–47). Springer. Link

  65. Mahankali, N. S., Raghavan, M., and Channappayya, S. S. (2022). No-Reference Video Quality Assessment Using Voxel-Wise fMRI Models of the Visual Cortex. In IEEE Signal Processing Letters (Vol. 29, pp. 319–323). Institute of Electrical and Electronics Engineers Inc. Link

  66. Mangla, P., Chandhok, S., Balasubramanian, V. N., and Khan, F. S. (2022). COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains. In Proceedings—2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022 (pp. 1618–1627). Institute of Electrical and Electronics Engineers Inc. Link

  67. Mangla, P., Kumari, N., Singh, M., Krishnamurthy, B., and Balasubramanian, V. N. (2022). Data InStance Prior (DISP) in Generative Adversarial Networks. In Proceedings—2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022 (pp. 3471–3481). Institute of Electrical and Electronics Engineers Inc. Link

  68. Manoj, A., Miriyala, S. S., and Mitra, K. (2022). Multi-objective Bayesian Optimization for Computationally Expensive Reaction Network Models. In 2022 8th Indian Control Conference, ICC 2022—Proceedings (pp. 428–433). Institute of Electrical and Electronics Engineers Inc. Link

  69. Manupriya, P., Menta, T. R., Saketha Nath, J., and Balasubramanian, V. N. (2022). Improving Attribution Methods by Learning Submodular Functions. In Proceedings of Machine Learning Research (Vol. 151, pp. 2173–2190). ML Research Press. Link

  70. Pantula, P. D., Miriyala, S. S., and Mitra, K. (2022a). A Deep Unsupervised Learning Algorithm for Clustering of Wind Frequency Maps. In 2022 8th Indian Control Conference, ICC 2022—Proceedings (pp. 361–366). Institute of Electrical and Electronics Engineers Inc. Link

  71. Miriyala, S. S., Inapakurthi, R., and Mitra, K. (2022). Nonlinear system identification of environmental pollutants using recurrent neural networks and Global Sensitivity Analysis. In Statistical Modeling in Machine Learning: Concepts and Applications. Elsevier. Link

  72. Miriyala, S. S., Jadhav, P. D., Banerjee, R., and Mitra, K. (2022). Artificial intelligence–based uncertainty quantification technique for external flow computational fluid dynamic (CFD) simulations. In Statistical Modeling in Machine Learning: Concepts and Applications. Elsevier. Link

  73. Maurya, K. K., and Desarkar, M. S. (2022). Meta-XNLG: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 269–284). Association for Computational Linguistics (ACL). Link

  74. Modi, A., Rajanala, S., and Singh, M. (2022). DACE: Did I Catch You at a Good Time? In Communications in Computer and Information Science: Vol. 1716 CCIS (pp. 313–326). Springer Science and Business Media Deutschland GmbH. Link

  75. Kumar, P., Kumar, R., Kumar, A., Franklin, A. A., Garg, S., and Singh, S. (2022). Blockchain and Deep Learning for Secure Communication in Digital Twin Empowered Industrial IoT Network. In IEEE Transactions on Network Science and Engineering (pp. 1–13). IEEE Computer Society. Link

  76. Narasimhan, S., Dey, S., and Desarkar, M. S. (2022). Towards Robust and Semantically Organised Latent Representations for Unsupervised Text Style Transfer. In NAACL 2022—2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference (pp. 456–474). Association for Computational Linguistics (ACL). Link

  77. Mopuri, K. R., Bilen, H., Tsuchihashi, N., Wada, R., Inoue, T., Kusanagi, K., Nishiyama, T., and Tamamura, H. (2022). Early sign detection for the stuck pipe scenarios using unsupervised deep learning. In Journal of Petroleum Science and Engineering (Vol. 208). Elsevier B.V. Link

  78. Natarajan, L. P., and Krishnan, P. (2022b). Berman Codes: A Generalization of Reed-Muller Codes that Achieve BEC Capacity. In IEEE International Symposium on Information Theory—Proceedings (Vols. 2022-June, pp. 1761–1766). Institute of Electrical and Electronics Engineers Inc. Link

  79. Narayanan, V., Deshmukh, A. A., Dogan, U., and Balasubramanian, V. N. (2022). On Challenges in Unsupervised Domain Generalization. In Proceedings of Machine Learning Research (Vol. 181, pp. 42–58). ML Research Press. Link

  80. Nayak, G. K., Mopuri, K. R., Jain, S., and Chakraborty, A. (2022). Mining Data Impressions From Deep Models as Substitute for the Unavailable Training Data. In IEEE Transactions on Pattern Analysis and Machine Intelligence (Vol. 44, Issue 11, pp. 8465–8481). IEEE Computer Society. Link

  81. Nanavati, K., Gupta, M., and Jayaram, B. (2022). Monodistances from Fuzzy Implications. In Communications in Computer and Information Science: Vol. 1601 CCIS (pp. 169–181). Springer Science and Business Media Deutschland GmbH. Link

  82. Nanavati, K., and Jayaram, B. (2022). On the Order-Compatibility of Fuzzy Logic Connectives on the Generated Clifford Poset. In Communications in Computer and Information Science: Vol. 1601 CCIS (pp. 714–725). Springer Science and Business Media Deutschland GmbH. Link

  83. Najiya, K. Z., Sonkar, M., and Sastry, C. S. (2022). Local Recovery Bounds for Prior Support Constrained Compressed Sensing. In Mathematical Notes (Vol. 111, Issues 1–2, pp. 93–102). Pleiades journals. Link

  84. Nair, V., Ghalme, G., Talgam-Cohen, I., and Rosenfeld, N. (2022). Strategic Representation. In Proceedings of Machine Learning Research (Vol. 162, pp. 16331–16352). ML Research Press. Link

  85. Nag, S., Makwana, D., R, S. C. T., Mittal, S., and Mohan, C. K. (2022). WaferSegClassNet—A light-weight network for classification and segmentation of semiconductor wafer defects. In Computers in Industry (Vol. 142). Elsevier B.V. Link

  86. Anumasa, S., and Srijith, P. K. (2022). Latent Time Neural Ordinary Differential Equations. In Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022 (Vol. 36, pp. 6010–6018). Association for the Advancement of Artificial Intelligence. Link

  87. Sankararao, A. U. G., and Rajalakshmi, P. (2022). UAV Based Hyperspectral Remote Sensing and CNN for Vegetation Classification. In International Geoscience and Remote Sensing Symposium (IGARSS) (Vols. 2022-July, pp. 7737–7740). Institute of Electrical and Electronics Engineers Inc. Link

  88. Pamisetty, G., and Kodukula, S. R. M. (2022). Subtitle Synthesis using Inter and Intra utterance Prosodic Alignment for Automatic Dubbing. In 2022 National Conference on Communications, NCC 2022 (pp. 250–255). Institute of Electrical and Electronics Engineers Inc. Link

  89. Kumar, N. T. S., Gawande, M., Babu, M. N. P., Verma, H., and Rajalakshmi, P. (2022). Mobile Robot Terrain Mapping for Path Planning using Karto Slam and Gmapping Technique. In 2022 IEEE Global Conference on Computing, Power and Communication Technologies, GlobConPT 2022. Institute of Electrical and Electronics Engineers Inc. Link

  90. Nimbekar, A., Dinesh, Y. V. S., Gautam, A., Hunsigida, V., Nali, A. R., and Acharyya, A. (2022). VLSI Architecture Design Methodology for Deep learning based Upper Limb and Lower Limb Movement Classification for Rehabilitation Application. In 2022 IEEE 13th Latin American Symposium on Circuits and Systems, LASCAS 2022. Institute of Electrical and Electronics Engineers Inc. Link

  91. Kranthi Kumar, P., and Detroja, K. P. (2022). Parameterized Adaptive Controller Design using Reinforcement Learning and Deep Neural Networks. In 2022 8th Indian Control Conference, ICC 2022—Proceedings (pp. 121–126). Institute of Electrical and Electronics Engineers Inc. Link

  92. Sarkar, A., Sarkar, A., and Balasubramanian, V. N. (2022). Leveraging Test-Time Consensus Prediction for Robustness against Unseen Noise. In Proceedings—2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022 (pp. 3564–3573). Institute of Electrical and Electronics Engineers Inc. Link

  93. Kuchibhotla, H. C., Malagi, S. S., Chandhok, S., and Balasubramanian, V. N. (2022). Unseen Classes at a Later Time? No Problem. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Vols. 2022-June, pp. 9235–9244). IEEE Computer Society. Link

  94. Sengupta, S., Peri, S., and Anjana, P. S. (2022). A Self-stabilizing Minimum Average Stretch Spanning Tree Construction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol. 13464 LNCS (pp. 119–135). Springer Science and Business Media Deutschland GmbH. Link

  95. Shahid, Md., Abhishek, B., and Channappayya, S. S. (2022). A Cross-Platform HD Dataset and a Two-Step Framework for Robust Aerial Image Matching. In IEEE Access (Vol. 10, pp. 66153–66174). Institute of Electrical and Electronics Engineers Inc. Link

  96. Singh, D. K., Rai, S. N., Joseph, K. J., Saluja, R., Balasubramanian, V. N., Arora, C., Subramanian, A., and Jawahar, C. V. (2022). New Objects on the Road? No Problem, We’ll Learn Them Too. In IEEE International Conference on Intelligent Robots and Systems (Vols. 2022-October, pp. 1972–1978). Institute of Electrical and Electronics Engineers Inc. Link

  97. Sinha, A., Joshi, S. P., Das, P. S., Jana, S., and Sarkar, R. (2022). An ML prediction model based on clinical parameters and automated CT scan features for COVID-19 patients. In Scientific Reports (Vol. 12, Issue 1). Nature Research. Link

  98. Suresh, N., Mylavarapu, P. M., Mahankali, N. S., and Channappayya, S. S. (2022). A Fast and Efficient No-Reference Video Quality Assessment Algorithm Using Video Action Recognition Features. In 2022 National Conference on Communications, NCC 2022 (pp. 402–406). Institute of Electrical and Electronics Engineers Inc. Link

  99. Susladkar, O., Deshmukh, G., Nag, S., Mantravadi, A., Makwana, D., Ravichandran, S., R, S. C. T., Chavhan, G. H., Mohan, C. K., and Mittal, S. (2022). ClarifyNet: A high-pass and low-pass filtering based CNN for single image dehazing. In Journal of Systems Architecture (Vol. 132). Elsevier B.V. Link

  100. Tamire, M., Anumasa, S., and Srijith, P. K. (2022). Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification. In WIT 2022—2nd WIT-Workshop On Deriving Insights From User-Generated Text, Proceedings of the Workshop (pp. 20–24). Association for Computational Linguistics (ACL). Link

  101. Tejasri, N., Ujwal Sai, G., Rajalakshmi, P., Naik, B., and Desai, U. B. (2022). Drought Stress Segmentation on Drone captured Maize using Ensemble U-Net framework. In 5th IEEE International Image Processing, Applications and Systems Conference, IPAS 2022. Institute of Electrical and Electronics Engineers Inc. Link

  102. Thakur, A., Anand, B., Verma, H., and Rajalakshmi, P. (2022). Real Time Lidar Odometry and Mapping and Creation of Vector Map. In 2022 8th International Conference on Automation, Robotics and Applications, ICARA 2022 (pp. 181–185). Institute of Electrical and Electronics Engineers Inc. Link

  103. Tondulkar, R., Dubey, M., Srijith, P. K., and Lukasik, M. (2022). Hawkes Process Classification through Discriminative Modeling of Text. In Proceedings of the International Joint Conference on Neural Networks (Vols. 2022-July). Institute of Electrical and Electronics Engineers Inc. Link

  104. Prudviraj, J., Vishnu, C., and Mohan, C. K. (2022). M-FFN: multi-scale feature fusion network for image captioning. In Applied Intelligence (Vol. 52, Issue 13, pp. 14711–14723). Springer. Link

  105. Vidyasagar, M. (2022). A New Converse Lyapunov Theorem for Global Exponential Stability and Applications to Stochastic Approximation. In Proceedings of the IEEE Conference on Decision and Control (Vols. 2022-December, pp. 2319–2321). Institute of Electrical and Electronics Engineers Inc. Link

  106. Verma, P., Sasmal, P., Pal, C., Channappayya, S., and Acharyya, A. (2022). Clustered Network Adaptation Methodology for the Resource Constrained Platform. In 20th IEEE International Interregional NEWCAS Conference, NEWCAS 2022—Proceedings (pp. 402–406). Institute of Electrical and Electronics Engineers Inc. Link

  107. Pantula, P. D., Miriyala, S. S., and Mitra, K. (2022b). Stochastic optimization of industrial grinding operation through data-driven robust optimization. In Statistical Modeling in Machine Learning: Concepts and Applications. Elsevier. Link

  108. Rawat, S., Chandra, A. L., Desai, S. V., Balasubramanian, V. N., Ninomiya, S., and Guo, W. (2022). How Useful Is Image-Based Active Learning for Plant Organ Segmentation? In Plant Phenomics (Vol. 2022). American Association for the Advancement of Science. Link

  109. Rai, S. N., Saluja, R., Arora, C., Balasubramanian, V. N., Subramanian, A., and Jawahar, C. V. (2022). FLUID: Few-Shot Self-Supervised Image Deraining. In Proceedings—2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022 (pp. 418–427). Institute of Electrical and Electronics Engineers Inc. Link

  110. Miriyala, S. S., Pujari, K. N., Naik, S., and Mitra, K. (2022). Evolutionary neural architecture search for surrogate models to enable optimization of industrial continuous crystallization process. In Powder Technology (Vol. 405). Elsevier B.V. Link

  111. Yerawar, S., Jinde, S., Srijith, P. K., Desarkar, M. S., Annervaz, K. M., and Sengupta, S. (2022). Predicting Reputation Score of Users in Stack-overflow with Alternate Data. In International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K - Proceedings (Vol. 1, pp. 355–362). Science and Technology Publications, Lda. Link

  112. Zhao, J., Kumar, A., Banoth, B. N., Marathi, B., Rajalakshmi, P., Rewald, B., Ninomiya, S., and Guo, W. (2022). Deep-Learning-Based Multispectral Image Reconstruction from Single Natural Color RGB Image—Enhancing UAV-Based Phenotyping. In Remote Sensing (Vol. 14, Issue 5). MDPI. Link

  113. Yenduri, S., Perveen, N., Chalavadi, V., and C, K. M. (2022). Fine-grained action recognition using dynamic kernels. In Pattern Recognition (Vol. 122). Elsevier Ltd. Link

  114. Wilson, A. N., Kumar, A., Jha, A., and Cenkeramaddi, L. R. (2022). Embedded Sensors, Communication Technologies, Computing Platforms and Machine Learning for UAVs: A Review. In IEEE Sensors Journal (Vol. 22, Issue 3, pp. 1807–1826). Institute of Electrical and Electronics Engineers Inc. Link

  115. Vinay, R., Sasmal, P., Pal, C., Haraki, T., Tamura, K., Juyal, C., Elbakri, M. A. G., Channappayya, S., and Acharyya, A. (2022). Light Weight RL Based Run Time Power Management Methodology for Edge Devices. In ICECS 2022—29th IEEE International Conference on Electronics, Circuits and Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc. Link

  116. Vidyasagar, M., and Pasumarthy, R. (2022). Welcome by the General Co-Chairs. In 2022 8th Indian Control Conference, ICC 2022—Proceedings. Institute of Electrical and Electronics Engineers Inc. Link

  117. Mandal, S., and Jayaram, B. (2023). BKS Fuzzy Inference Employing h-Implications. In Forum for Interdisciplinary Mathematics (pp. 123–138). Springer. Link

  118. Koidala, S. P., Manne, S. R., Ozimba, K., Rasheed, M. A., Bashar, S. B., Ibrahim, M. N., Selvam, A., Sahel, J. A., Chhablani, J., Jana, S., and Vupparaboina, K. K. (2023). Deep learning based diagnostic quality assessment of choroidal OCT features with expert-evaluated explainability. In Scientific Reports (Vol. 13, Issue 1). Nature Research. Link

  119. Manoj, A., Miriyala, S. S., and Mitra, K. (2023). Multi-objective optimization through a novel Bayesian approach for industrial manufacturing of Polyvinyl Acetate. In Materials and Manufacturing Processes. Taylor and Francis Ltd. Link

  120. Jandial, S., Khasbage, Y., Pal, A., Krishnamurthy, B., and Balasubramanian, V. N. (2023). RetroKD : Leveraging Past States for Regularizing Targets in Teacher-Student Learning. In ACM International Conference Proceeding Series (pp. 10–18). Association for Computing Machinery. Link

  121. Kranthi Kumar, P., and Detroja, K. P. (2023). Design of Reinforcement Learning based PI controller for nonlinear Multivariable System. In 2023 European Control Conference, ECC 2023. Institute of Electrical and Electronics Engineers Inc. Link

  122. Jain, S., and Srijith, P. K. (2023). Monte Carlo Dropout Based BatchEnsemble For Improving Uncertainty Estimation. In ACM International Conference Proceeding Series (p. 138). Association for Computing Machinery. Link

  123. Najiya, K. Z., and Sastry, C. S. (2023). Analysis of general weights in weighted ℓ1−2 minimization through applications. In Digital Signal Processing: A Review Journal (Vol. 133). Elsevier Inc. Link

  124. Gupta, V. K., and Jayaram, B. (2023a). Clifford’s order obtained from uninorms on bounded lattices. In Fuzzy Sets and Systems (Vol. 462). Elsevier B.V. Link

  125. Giridhar, P., Ramesh, G., and Murty, K. S. R. (2023). A non-linear source-filter based vocoder with prosody control. In 2023 National Conference on Communications, NCC 2023. Institute of Electrical and Electronics Engineers Inc. Link

  126. Gupta, S., Ghalme, G., Krishnan, N. C., and Jain, S. (2023). Efficient algorithms for fair clustering with a new notion of fairness. In Data Mining and Knowledge Discovery. Springer. Link

  127. Nanavati, K., and Jayaram, B. (2023). Order from non-associative operations. In Fuzzy Sets and Systems (Vol. 467). Elsevier B.V. Link

  128. Nimbekar, A., Sai Dinesh, Y. V., Gautam, A., Hunsigida, V., Nali, A. R., and Acharyya, A. (2023). Reconfigurable VLSI Design Architecture for Deep Learning Established Forelimb and Hindlimb Gesture Recognition for Rehabilitation Application. In IEEE Access (Vol. 11, pp. 70061–70070). Institute of Electrical and Electronics Engineers Inc. Link

  129. Nanavati, K., Gupta, M., and Jayaram, B. (2023). Pseudo-monometrics from fuzzy implications. In Fuzzy Sets and Systems (Vol. 466). Elsevier B.V. Link

  130. Gupta, V. K., and Jayaram, B. (2023b). On the Pecking Order between Those of Mitsch and Clifford. In Mathematica Slovaca (Vol. 73, Issue 3, pp. 565–582). De Gruyter Open Ltd. Link

  131. Parvathala, V., Andhavarapu, S., Pamisetty, G., and Murty, K. S. R. (2023). Neural Comb Filtering Using Sliding Window Attention Network for Speech Enhancement. In Circuits, Systems, and Signal Processing (Vol. 42, Issue 1, pp. 322–343). Birkhauser. Link

  132. Rahul, L. R., Sarkar, R., Sengupta, A., Chandra, B. S., and Jana, S. (2023). Novel AI-based HRV analysis (NAIHA) in healthcare automation and related applications. In Journal of Electrocardiology (Vol. 79, pp. 112–121). Elsevier B.V. Link

  133. Patil, S. M., Choudhary, S., Kholová, J., Anbazhagan, K., Parnandi, Y., Gattu, P., Mallayee, S., Ksvv, P., Kumar, V. P., Rajalakshmi, P., Chandramouli, M., and Adinarayana, J. (2023). UAV-based Digital Field Phenotyping for Crop Nitrogen Estimation using RGB Imagery. In 2023 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2023. Institute of Electrical and Electronics Engineers Inc. Link

  134. Prudviraj, J., Sravani, Y., and Mohan, C. K. (2023). Incorporating attentive multi-scale context information for image captioning. In Multimedia Tools and Applications (Vol. 82, Issue 7, pp. 10017–10037). Springer. Link

  135. Natarajan, L. P., and Krishnan, P. (2023). Berman Codes: A Generalization of Reed-Muller Codes that Achieve BEC Capacity. In IEEE Transactions on Information Theory (pp. 1–1). Institute of Electrical and Electronics Engineers Inc. Link

  136. Dubey, M., Palakkadavath, R., and Srijith, P. K. (2023). Event Uncertainty using Ensemble Neural Hawkes Process. In ACM International Conference Proceeding Series (pp. 228–232). Association for Computing Machinery. Link

  137. Pujari, K. N., Miriyala, S. S., Mittal, P., and Mitra, K. (2023). Better wind forecasting using Evolutionary Neural Architecture search driven Green Deep Learning. In Expert Systems with Applications (Vol. 214). Elsevier Ltd. Link

  138. Rafi, B. S. M., Sankala, S., and Murty, K. S. R. (2023). Relative Significance of Speech Sounds in Speaker Verification Systems. In Circuits, Systems, and Signal Processing (Vol. 42, Issue 9, pp. 5412–5427). Birkhauser. Link

  139. Rangayyan, Y. M., Kidambi, S., and Raghavan, M. (2023). Deaths from undetected COVID-19 infections as a fraction of COVID-19 deaths can be used for early detection of an upcoming epidemic wave. In PLoS ONE (Vol. 18, Issue 3 March). Public Library of Science. Link

  140. Anushka Joshi, Chalavadi Vishnu, C Krishna Mohan, Balasubramanian Raman, “XGBoost model for early prediction of earthquake magnitude from waveform data”, Accepted in Journal of Earth System Science (Springer), 2023. (Impact factor = 2.0)

  141. Rasna, A. A., and Mohan, C. K. (2023). Geodesic Based Image Matching Network for the Multi-scale Ground to Aerial Geo-localization. In IEEE Aerospace Conference Proceedings (Vols. 2023-March). IEEE Computer Society. Link

  142. Dayal, A., Aishwarya, M., Abhilash, S., Mohan, C. K., Kumar, A., and Cenkeramaddi, L. R. (2023). Adversarial Unsupervised Domain Adaptation for Hand Gesture Recognition Using Thermal Images. In IEEE Sensors Journal (Vol. 23, Issue 4, pp. 3493–3504). Institute of Electrical and Electronics Engineers Inc. Link

  143. Sairam, R. V. C., Keswani, M., Sinha, U., Shah, N., and Balasubramanian, V. N. (2023). ARUBA: An Architecture-Agnostic Balanced Loss for Aerial Object Detection. In Proceedings—2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023 (pp. 3708–3717). Institute of Electrical and Electronics Engineers Inc. Link

  144. Chandrakanth, V., Murthy, V. S. N., and Channappayya, S. S. (2023). Siamese Cross-Domain Tracker Design for Seamless Tracking of Targets in RGB and Thermal Videos. In IEEE Transactions on Artificial Intelligence (Vol. 4, Issue 1, pp. 161–172). Institute of Electrical and Electronics Engineers Inc. Link

  145. On the Complexity of Algebraic Numbers, and the Bit-Complexity of Straight-Line Programs. Eric Allender, Nikhil Balaji, Samir Datta, Rameshwar Pratap. In the Computability (The Journal of the Association of Computability in Europe), 12(2): 145-173 (2023).

  146. Chandra, D. S., Varshney, S., Srijith, P. K., and Gupta, S. (2023). Continual Learning with Dependency Preserving Hypernetworks. In Proceedings—2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023 (pp. 2338–2347). Institute of Electrical and Electronics Engineers Inc. Link

  147. Singh, M., Kancheti, S. S., Gupta, S., Ghalme, G., Jain, S., and Krishnan, N. (2023). Algorithmic Recourse based on User’s Feature-order Preference. In ACM International Conference Proceeding Series (pp. 293–294). Association for Computing Machinery. Link

  148. De, A., Gudipudi, S. S., Panchanan, S., and Desarkar, M. S. (2023). ComplAI: Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models. In Proceedings of the ACM Symposium on Applied Computing (pp. 1096–1099). Association for Computing Machinery. Link

  149. Ghosh, S., Maji, S., and Desarkar, M. S. (2023). Unsupervised Domain Adaptation with Global and Local Graph Neural Networks under Limited Supervision and Its Application to Disaster Response. In IEEE Transactions on Computational Social Systems (Vol. 10, Issue 2, pp. 551–562). Institute of Electrical and Electronics Engineers Inc. Link

  150. Bansal, R., Collison, S., Krishnan, L., Aggarwal, B., Vidyasagar, M., Kakileti, S. T., and Manjunath, G. (2023). A prospective evaluation of breast thermography enhanced by a novel machine learning technique for screening breast abnormalities in a general population of women presenting to a secondary care hospital. In Frontiers in Artificial Intelligence (Vol. 5). Frontiers Media S.A. Link

  151. Subrahmanyam, P. V., Vijesh, V. A., Jayaram, B., and Veeraraghavan, P. (2023). Preface. In Forum for Interdisciplinary Mathematics (p. v). Spri Link

  152. Sharan Narasimhan, Pooja H, Suvodip Dey and Maunendra Sankar Desarkar. On Text Style Transfer via Style Masked Language Models. 16th International Natural Language Generation Conference (INLG 2023). 11-15 Sep, 2023.

  153. Suvodip Dey, Maunendra Sankar Desarkar. Dial-M: A Masking-based Framework for Dialogue Evaluation. 24th Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL 2023) (Nominated for best short paper award). Sep 11-15, 2023.

  154. Kaushal Kumar Maurya, Maunendra Sankar Desarkar. Towards Low-resource Language Generation with Limited Supervision. BigPicture Workshop at EMNLP 2023. 6-10 Dec, 2024

  155. Thamilselvam, B., Kalyanasundaram, S., and Panduranga Rao, M. V. (2023). Decentralized Multi Agent Deep Reinforcement Q-Learning for Intelligent Traffic Controller. In IFIP Advances in Information and Communication Technology: Vol. 675 IFIP (pp. 45–56). Springer Science and Business Media Deutschland GmbH. Link

  156. Vemuri, N. R., Jayaram, B., and Mesiar, R. (2023). Generation of continuous T-norms through latticial operations. In Fuzzy Sets and Systems (Vol. 462). Elsevier B.V. Link

  157. Kaushal Kumar Maurya, Maunendra Sankar Desarkar, Manish Gupta and Puneet Agrawal. Trie-NLG: Trie Context Augmentation to Improve Personalized Query Auto-Completion for Short and Unseen Prefixes. ECML-PKDD 2023 (journal track). Also to be presented during ECML-PKDD 3023 conference. 18-22 Sep, 2023.

  158. Minwise-Independent Permutations with Insertion and Deletion of Features. Rameshwar Pratap and Raghav Kulkarni. Accepted to the 16th International Conference on Similarity Search and Applications, SISAP 2023.

  159. Bastos, A., Singh, K., Nadgeri, A., Hoffart, J., Singh, M., and Suzumura, T. (2023). Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods? In ACM Web Conference 2023. Proceedings of the World Wide Web Conference, WWW 2023 (pp. 2455–2466). Association for Computing Machinery, Inc. Link

  160. Batreddy, S., Siripuram, A., and Zhang, J. (2023). Robust graph learning for classification. In Signal Processing (Vol. 211). Elsevier B.V. Link

  161. Manisha Dubey, Srijith P.K., Maunendra Sankar Desarkar Time-to-Event Modeling with Hypernetwork based Hawkes Process. Accepted in Applied Data Sciences Track in 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2023). Aug 6-10, 2023.

  162. Vidyasagar, M. (2023b). Convergence of stochastic approximation via martingale and converse Lyapunov methods. In Mathematics of Control, Signals, and Systems (Vol. 35, Issue 2, pp. 351–374). Springer Science and Business Media Deutschland GmbH. Link

  163. Wilson, A. N., Jha, A., Kumar, A., and Cenkeramaddi, L. R. (2023). Estimation of number of unmanned aerial vehicles in a scene utilizing acoustic signatures and machine learning. In Journal of the Acoustical Society of America (Vol. 154, Issue 1, pp. 533–546). Acoustical Society of America. Link

  164. Vidyasagar, M. (2023a). A tutorial introduction to reinforcement learning. In SICE Journal of Control, Measurement, and System Integration (Vol. 16, Issue 1, pp. 172–191). Taylor and Francis Ltd. Link

  165. Pochimireddy, C. R., Siripuram, A. T., and Channappayya, S. S. (2023). Can Perceptual Guidance Lead to Semantically Explainable Adversarial Perturbations? In IEEE Journal on Selected Topics in Signal Processing (pp. 1–11). Institute of Electrical and Electronics Engineers Inc. Link

  166. QUINT: Node embedding using network hashing. Debajyoti Bera, Rameshwar Pratap, Bhisham Dev Verma, Biswadeep Sen, and Tanmoy Chakraborty. In the IEEE Transactions on Knowledge and Data Engineering (IEEE-TKDE), 35(3): 2987-3000 (2023).

  167. Pamisetty, G., and Sri Rama Murty, K. (2023). Prosody-TTS: An End-to-End Speech Synthesis System with Prosody Control. In Circuits, Systems, and Signal Processing (Vol. 42, Issue 1, pp. 361–384). Birkhauser. Link

  168. Venkatesh E, Kaushal Kumar Maurya, Deepak Kumar and Maunendra Sankar Desarkar DivHSK: Diverse Headline Generation using Self-Attention based Keyword Selection. Accepted in 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023). Jul 9-14, 2023.

  169. Mathukumalli Vidyasagar, "A Tutorial Introduction to Reinforcement Learning," (Invited Paper), SICE Journal of Control, Measurement and System Integration, 16(1), 172–191, 2023.

  170. Sonkar, M., Najiya, K. Z., and Sastry, C. S. (2023). Interior reconstruction in tomography via prior support constrained compressed sensing. In Journal of Inverse and Ill-Posed Problems (Vol. 31, Issue 1, pp. 77–90). De Gruyter Open Ltd. Link

  171. Envy-Free Cake Cutting with Graph Constraints. Ganesh Ghalme, Xin Huang and Nidhi Rathi. Accepted to WINE 2023 and Computational Fair Division workshop at IJCAI 2023.

  172. G Swetha, Rajeshreddy Datla, C Vishnu, C Krishna Mohan, “M2-APNet: A multimodal deep learning network to predict major air pollutants from temporal satellite images”, Accepted in SPIE Journal of Applied Remote Sensing, 2023. (Impact Factor = 1.568)

  173. Sai Harsha Yelleni, Kumari Deepshikha, Srijith P.K, Krishna Mohan Chalavadi, "Monte Carlo DropBlock for Modelling Uncertainty in Object Detection" in Pattern Recognition (Elsevier) , 2023. (Impact Factor = 8.518)

  174. Anushka Joshi, Balasubramanian Raman, C Krishna Mohan, Linga Reddy Cenkeramaddi, “Application of a New Machine Learning Model to Improve Earthquake Ground Motion Predictions”, in Natural Hazards (Springer), 2023. (Impact Factor = 3.158)

  175. Rambabu Damalla, Rajeshreddy Datla, Chalavadi Vishnu, C Krishna Mohan, "Self-supervised embedding for generalized zero-shot learning in remote sensing scene classification", Accepted in SPIE Journal of Applied Remote Sensing (JARS), 2023. (Impact Factor = 1.568)

  176. M. Vidyasagar, "Convergence of Stochastic Approximation via Martingale and Converse Lyapunov Methods," Mathematics of Controls, Signals and Systems 35, 351-374, 2023.

  177. Soumya. A, Krishna Mohan C, and Linga Reddy Cenkeramaddi, "Recent Advances in mmWave-Radar-Based Sensing, Its Applications, and Machine Learning Techniques: A Review", Published in MDPI Sensors Journal, 2023. (Impact Factor = 3.9)

  178. K Naveen Kumar, C Krishna Mohan, Linga Reddy Cenkeramaddi, “The Impact of Adversarial Attacks on Federated Learning: A Survey”, Accepted in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, DOI: 10.1109/TPAMI.2023.3322785. (Impact Factor = 24.314)

  179. Gaurav Patel, Konda Reddy Mopuri, and Qiang Qiu. "Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023.

  180. "Efficient Algorithms for Fair Clustering with a New Fairness Notion". Shivam Gupta, Ganesh Ghalme, Narayanan C Krishnan & Shweta Jain. Data Mining and Knowledge Discovery Journal (DMKD), pages 1–39, 2023.

  181. Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits. Vishakha Patil, Vineet Nair, Ganesh Ghalme, Arindam Khan. IJCAI 2023.

  182. Bhatt, G., and Balasubramanian, V. N. (2023). Learning Style Subspaces for Controllable Unpaired Domain Translation. In Proceedings—2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023 (pp. 4209–4218). Institute of Electrical and Electronics Engineers Inc. Link

  183. Prashant Shivgunde, Sapana Thakare, Sourav Sen, Madhuri Kanitkar, Manindra Agrawal & Mathukumalli Vidyasagar, “COVID-19 Pandemic in Malegaon: SUTRA over the Three Waves,” Indian Journal of Microbiology, 63, 344–351, 2023.

  184. Madhavi Kondapally, K Naveen Kumar, Chalavadi Vishnu, and C Krishna Mohan. "Towards a Transitional Weather Scene Recognition Approach for Autonomous Vehicles", Accepted in IEEE Transactions on Intelligent Transportation Systems, 2023. (Impact Factor = 9.551)

  185. Suresh Samudrala, C Krishna Mohan, “Semantic Segmentation of Breast Cancer Images Using DenseNet with Proposed PSPNet”, Accepted in Multimedia Tools and Applications (Springer) , 2023. (Impact factor = 2.577)

  186. V. Gupta and B. Jayaram, " Clifford’s Order from Uninorms on Bounded Lattices " , Fuzzy Sets and Systems, 462, 108384, 2023.

  187. Bhaskar Anand P. Rajalakshmi "BEV Approach Based Efficient Object Detection using YoloV4 for LiDAR Point Cloud," accepted in 2023 IEEE 97th Vehicular Technology Conference: VTC2023-Spring.

  188. A Soumya, Cenkeramaddi Linga Reddy, Chalavadi Vishnu, Lanjewar Yash Vinod and C Krishna Mohan, “Multi-Class Object Classification using Deep Learning Models in Automotive Object Detection Scenarios”, Accepted in Int. Conf. on Machine Vision Applications,2023.

  189. Swetha G, Rajesh Datla, C Krishna Mohan, “MS-VACSNet: A Network for Multi-scale Volcanic Ash Cloud Segmentation in Remote Sensing Images”, Accepted in Int. Conf. on Machine Vision Applications,2023.

  190. Arkadipta De, Satya Swaroop Gudipudi, Sourab Panchanan and Maunendra Sankar Desarkar ComplAI: Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models. In the 38th ACM/SIGAPP Symposium On Applied Computing (SAC 2023). Mar 27-31, 2023.

  191. Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N. Balasubramanian, Mitigating the Effect of Incidental Correlations on Part-based Learning, Proceedings of Neural Information Processing Systems (NeurIPS’23), Dec 2023.

  192. Aveen Dayal, Vimal K B, Linga Reddy Cenkeramaddi, C Krishna Mohan, Abhinav Kumar, Vineeth N. Balasubramanian, Margin-based Adversarial Learning for Domain Generalization, Proceedings of Neural Information Processing Systems (NeurIPS’23), Dec 2023.

  193. Thrupthi Ann John, V. Balasubramanian, C V Jawahar, Explaining Deep Face Algorithms through Visualization: A Survey, IEEE Transactions on Biometrics, Behavior, and Identity Science, 2023 (accepted, to appear) (Impact Factor: 5.81).

  194. Gaurav Bhatt*, Deepayan Das*, Leonid Sigal, Vineeth N Balasubramanian, Weakly-supervised Spatially Grounded Concept Learner for Few-Shot Learning, Proceedings of British Machine Vision Conference (BMVC’23), Nov 2023.

  195. Purbayan Kar, Vishal Chudasama, Naoyuki Onoe, Pankaj Wasnik, Vineeth N Balasubramanian, Fiducial Focus Augmentation for Facial Landmark Detection, Proceedings of British Machine Vision Conference (BMVC’23), Nov 2023.

  196. Vimal K B*, Saketh Bachu*, Tanmay Garg, Niveditha Lakshmi Narasimhan, Raghavan Konuru, V Balasubramanian, Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach, Proceedings of IEEE International Conference on Computer Vision (ICCV’23), Oct 2023.

  197. Gaurav Bhatt*, Deepayan Das*, Leonid Sigal, Vineeth N Balasubramanian, Weakly-supervised Spatially Grounded Concept Learner for Few-Shot Learning, Proceedings of British Machine Vision Conference (BMVC’23), Nov 2023.

  198. Purbayan Kar, Vishal Chudasama, Naoyuki Onoe, Pankaj Wasnik, Vineeth N Balasubramanian, Fiducial Focus Augmentation for Facial Landmark Detection, Proceedings of British Machine Vision Conference (BMVC’23), Nov 2023.

  199. Gattu Priyanka, Shreeshan S, Subhra Shankha Bhattacherjee,Jana Kholova P. Rajalakshmi “Vision-based Point Cloud Processing Framework for High Throughput Phenotyping" IEEE International Geoscience and Remote Sensing Symposium 2023.

  200. Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Johannes Hoffart, Manish Singh, Toyotaro Suzumura: Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods? WWW 2023: 2455-2466.

  201. Shubhra Aich, Jesus Ruiz-Santaquiteria, Prachi Garg, Zhenyu Lu, Joseph K J, Alvaro Fernandez Garcia, Kenrick Kin, Chengde Wan, Vineeth N Balasubramanian, Necati Cihan Camgoz, Shugao Ma, Fernando de la Torre, Data-Free Class-Incremental Hand Gesture Recognition, Proceedings of IEEE International Conference on Computer Vision (ICCV’23), Oct 2023.

  202. Shivangana Rawat, Chaitanya Devaguptapu, V Balasubramanian, Partial Label Learning meets Active Learning: Enhancing Annotation Efficiency through Binary Questioning, Workshop on What do we need for successful domain generalization, International Conference on Machine Learning (ICML’23), Jul 2023 (also presented at Workshop on Knowledge and Logical Reasoning in the Era of Data-Driven Learning at ICML’23).

  203. Dimensionality Reduction for Categorical Data. Debajyoti Bera, Rameshwar Pratap, and Bhisham Dev Verma. In the IEEE Transactions on Knowledge and Data Engineering (IEEE-TKDE), 35(4): 3658-3671 (2023).

  204. Gaurav Bhatt, V N Balasubramanian, Learning Style Subspaces for Controllable Unpaired Domain Translation, Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV’23), Jan 2023.

  205. N.R. Vemuri, B. Jayaram and R. Mesiar, " Generation of continuous t-norms through Latticial operations " , Fuzzy Sets and Systems, 462, 108398, 2023.

  206. K. Nanavati, M. Gupta and B. Jayaram, " Pseudo-Monometrics from Fuzzy Implications " , Fuzzy Sets and Systems, 467, 108484, 2023.

  207. K. Nanavati and B. Jayaram, " Order from Non-Associative Operations " , Fuzzy Sets and Systems, 466, 108429, 2023.

  208. Chalavadi Vishnu, Vineel Abhinav, Debaditya Roy, Sobhan Babu, and C. Krishna Mohan, "Improving Multi-agent Trajectory Prediction using Dynamic Traffic States on Interactive Driving Scenarios," Accepted in IEEE Robotics and Automation Letters pp. 1-8, doi: 10.1109/LRA.2023.3258685,2023. (Impact factor = 5.2)

  209. Chalavadi Vishnu, Linga Reddy Cenkeramaddi, C Krishna Mohan, Jayesh Khandelwal, “EVAA - Exchange Vanishing Adversarial Attack on LiDAR Point Clouds in Autonomous Vehicles” in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2023.3292372, 2023. (Impact factor = 8.125)

  210. Anagha Nimbekar, Y V Sai Dinesh, Arvind Gautam, Vidhumouli Hunsigida, Appa Rao Nali and Amit Acharyya, "Reconfigurable VLSI Design Architecture for Deep Learning Established Forelimb and Hindlimb Gesture Recognition for Rehabilitation Application", IEEE ACCESS, June 2023. (Accepted)

  211. Soumya. A, Linga Reddy Cenkeramaddi, Chalavadi Vishnu, and Krishna Mohan C, "Multi-Class Object Classification using Deep Learning Models in Automotive Object Detection Scenarios"; Accepted in the 16th Int. Conf. on Machine Vision (ICMV),2023.

  212. Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Toyotaro Suzumura, Manish Singh: Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions. AAAI 2023: 6779-6787.

  213. Manisha Dubey, Ragja Palakkadavath, P. K. Srijith: Event Uncertainty using Ensemble Neural Hawkes Process. Conference on Data Sciences (CoDS) 2023.

  214. Gattu Priyanka,Jana Kholova P. Rajalakshmi “Two Dimensional Histogram Based on Relative Entropy Thresholding for Crop Segmentation using UAV Images" IEEE International Geoscience and Remote Sensing Symposium 2023.

  215. Unbiased Estimation of Inner Product via Higher Order Count Sketch. Bhisham Dev Verma, Rameshwar Pratap, and Manoj Thakur, was accepted to the Information Process Letters, 2023.

  216. Manisha Dubey, P.K. Srijith and Maunendra Sankar Desarkar, Time-to-Event Modeling with Hypernetwork based Hawkes Process, 29th ACM SIGKDD conference on knowledge discovery and data mining (KDD), 2023.

  217. S Anumasa, G Gunapati, P. K. Srijith, Continuous Depth Recurrent Neural Differential Equations, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2023.

  218. Rebbapragada VC Sairam, Monish Keswani, Uttaran Sinha, Nishit Shah, V N Balasubramanian, ARUBA: An Architecture-Agnostic Balanced Loss for Aerial Object Detection, Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV’23), Jan 2023.

  219. Srikar Dupati, Sakshi Varshney, P.K. Srijith, Sunil, Gupta, Continual Learning with Dependency Preserving Hypernetworks, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023.

  220. Peketi Divya, Vishnu Chalavadi, C. Krishna Mohan, Yen Wei Chen, "FLWGAN: Federated Learning with Wasserstein Generative Adversarial Network for Brain Tumor Segmentation", in Int. Joint Conf. on Neural Networks (IJCNN), IEEE,2023.

  221. Nagaraju C, Ramesh Yenda and Krishna Mohan C, “A Data Parallel Approach for Distributed Neural Networks to Achieve Faster Convergence”, Accepted in Int. Conf. on Machine Vision (ICMV 2023),2023.

  222. Vimal K B*, Saketh Bachu*, Tanmay Garg, Niveditha Lakshmi Narasimhan, Raghavan Konuru, V Balasubramanian, Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach, Proceedings of IEEE International Conference on Computer Vision (ICCV’23), Oct 2023.

  223. A. Ramachandran, S. S. Channappayya, “Perceptually-Inspired Local Source Normalization for Adversarial Robustness,” accepted to AIML Systems 2023.

  224. Adduru U.G. Sankararao,Sunitha Choudhary,, P. Rajalakshmi “Machine Learning Based Ensemble Waveband Selection for Early Water Stress Identification in Groundnut Canopy Using UAV Based Hyperspectral Imaging” accepted in 2023 IEEE Geoscience and Remote Sensing Letters

  225. Aveen Dayal, Vimal K B, Linga Reddy Cenkeramaddi, C Krishna Mohan, Abhinav Kumar, Vineeth N. Balasubramanian, “Margin-based Adversarial Learning for Domain Generalization”, Accepted in Proc. on Int. Conf. on Neural Information Processing Systems (NeurIPS),2023.

  226. Annu S P. Rajalakshmi “Joint Scheduling of Communication and Computation Resources for Efficient Computation Offloading in MEC-based V2X Systems," IEEE 9th World Forum on Internet of Things (WF-IoT 2023).

  227. B. Rafi, S. Sankala, and K. Sri Rama Murty, “Relative significance of speech sounds in speaker verification systems,” Circuits, Systems, and Signal Processing, 2023. doi: 10.1007/s00034-023-02360-z.

  228. Tejasri N ,Balaji Naik, and Uday B. Desai, P. Rajalakshmi " Intelligent Drought Stress Monitoring on Spatio-Spectral-Temporal Drone-based Crop Imagery using Deep Networks” 2nd AAAI Workshop on AI for Agriculture and Food Systems, Jan 2023.

  229. R. Fernandez-Peralta, Megha Gupta, Kavit Nanavati, S. Massanet and B. Jayaram, Subgroup Discovery through Sharp Transitions using Implicative Type Rules, 2023 International Conference on Fuzzy Systems, Fuzz-IEEE 2023, Songdo Incheon, Korea, August 13-17, 2023.

  230. Shweta Verma, Abhirami S., A. Kumar, and Sai Dhiraj Amuru, "Double Deep Reinforcement Learning Assisted Handovers in 5G and Beyond Cellular Networks," accepted in COMSNETS 2023.

  231. Tejasri N, Sam Mathew, Balram M, U.B. Desai P. Rajalakshmi “Deep Networks based Approach for Automatic Counting Panicles on UAV captured Paddy RGB Imagery" accepted in 2023 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases.

  232. G. Pamisetty and K. Sri Rama Murty, “Prosody-tts: An end-to-end speech synthesis system with prosody control,” Circuits, Systems, and Signal Processing, vol. 42, no. 1, pp. 361–384, 2023. doi: 10.1007/s00034-022-02126-z.

  233. Bhaskar Anand P. Rajalakshmi "Client-Server Based Implementation of LiDAR Data Streaming System on ROS platform," accepted in 2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC)...

  234. B. Rafi, S. Sankala, and K. Sri Rama Murty, “Relative significance of speech sounds in speaker verification systems,” Circuits, Systems, and Signal Processing, 2023. doi: 10.1007/s00034-023-02360-z.

  235. Prassanth Kumar Duba, Naga Praveen Babu Mannam P. Rajalakshmi “STEREO VISION BASED OBJECT DETECTION FOR AUTONOMOUS NAVIGATION IN SPACE ENVIRONMENTS" International Conference on Spacecraft Mission Operations: SMOPS-2023.

  236. Nemalidinne Siva Mouni, Pavan Reddy, A. Kumar, and Prabhat Kumar Upadhyay, "Enhanced User Pairing and Power Allocation Strategies for Downlink NOMA Systems with Imperfections in SIC." accepted in COMSNETS 2023.

  237. V. Parvathala, S. Andhavarapu, G. Pamisetty, and K. Sri Rama Murty, “Neural comb filtering using sliding window attention network for speech enhancement,” Circuits, Systems, and Signal Processing, vol. 42, no. 1, pp. 322–343, 2023. doi: 10.1007/s00034-022-02123-2.

  238. “Interior reconstruction in tomography via prior support constrained compressed sensing,” Journal of Inverse and Ill-posed Problems, Vol. 31, No. 1, 2023, pp. 77-90 (with M. Sonkar and K. Z. Najiya).

  239. S. K. Amalapuram, S. S. Channappayya, B. R. Tamma, “Augmented Memory Replay-based Continual Learning Approaches for Network Intrusion Detection,” accepted to NeurIPS 2023.

  240. Priyanka Gattu, P. Rajalakshmi “"A step towards inter-operable Unmanned Aerial Vehicles (UAV) based phenotyping; A case study demonstrating a rapid, quantitative approach to standardize image acquisition and check quality of acquired images ” accepted in 2023 ISPRS Open Journal of Photogrammetry and Remote Sensing.

  241. Mandayam Rangayyan, Y., Kidambi, S. and Raghavan, M., (2023). Deaths from undetected COVID-19 infections as a fraction of COVID-19 deaths can be used for early detection of an upcoming epidemic wave. Plos one, 18(3), p.e0283081.

  242. G. Pamisetty and K. Sri Rama Murty, “Prosody-tts: An end-to-end speech synthesis system with prosody control,” Circuits, Systems, and Signal Processing, vol. 42, no. 1, pp. 361–384, 2023. doi: 10.1007/s00034-022-02126-z.

  243. V. Parvathala, S. Andhavarapu, G. Pamisetty, and K. Sri Rama Murty, “Neural comb filtering using sliding window attention network for speech enhancement,” Circuits, Systems, and Signal Processing, vol. 42, no. 1, pp. 322–343, 2023. doi: 10.1007/s00034-022-02123-2.

  244. Naga Praveen Babu Mannam, Gunashekhar V, Deeshant Sharma and P. Rajalakshmi “Offroad Autonomous Ground Vehicle for Pipeline Inspections using waypoint navigation and obstacle avoidance", accepted in 2023 International Conference on COMmunication Systems & NETworkS (COMSNETS), 2023.

  245. “Analysis of general weights in weighted l1-2- minimization through applications,” Digital Signal Processing, Vol. 133, 3, 2023 (with K. Z. Najiya)

  246. Arumugam, S., and Desai, S. (2023). Classification of pulsar glitch amplitudes using extreme deconvolution. In Journal of High Energy Astrophysics (Vol. 37, pp. 46–50). Elsevier B.V. Link

  247. Parvez Alam, P. Rajalakshmi "Deep Learning based steering angle prediction with LiDAR for Autonomous vehicle" accepted in 97th IEEE Vehicular Technology Conference 2023.

  248. Vaasudev Narayanan, Sai Srinivas Kancheti, V Balasubramanian, A Simple Test-Time Adaptation Method for Source-Free Domain Generalization, Workshop on Data-centric Machine Learning Research, International Conference on Learning Representations (ICLR’23), May 2023.

  249. Palli Venkata Aishwarya, D Santhosh Reddy, Dinesh Kumar Sonkar, Poluri Nikhil Koundinya, P. Rajalakshmi "Robust Deep Learning based Speed Bump Detection for Autonomous Vehicles in Indian Scenarios" accepted in 2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC), Nashville, Tennessee, USA 2023.

  250. Shantanu Yadav, Sanju Kumar,, P. Rajalakshmi "Vehicle Detection and Tracking using Radar for Lane Keep Assist Systems," accepted in 2023 IEEE VTC 2023.Smart Agricultur.

  251. Rashi Dutt, Amit Acharyya and Amit Acharyya, "Low-complexity Square Root Unscented Kalman Filter Design Methodology", Circuits Systems and Signal Processing, Springer, June 2023. (Accepted)

  252. Santhosh Sivasubramani, Sanghamitra Debroy, Swati Ghosh Acharyya and Amit Acharyya, “Graphene based Area Efficient Power Planning Architecture Design Methodology for Nanomagnetic Logic Implementation", The Journal of Supercomputing - A Springer Nature Publication(2023).(Accepted)

  253. Prasannata Bhange, Deepak Kumar Joshi, Sunil Kumar Pandu, Kamal Mankari, Swati Ghosh Acharyya, and Amit Acharyya , "Phase Space Reconstruction based methodology of real-time detection of corrosion in ship", 61st IEEE International Ultrasonics Symposium (IUS), Canada, 3 – 8 September 2023. (Accepted)

  254. Sayantan Mandal and B. Jayaram, " BKS Fuzzy Inference Employing h-Implications", in: Subrahmanyam, P.V., Vijesh, V.A., Jayaram, B., Veeraraghavan, P. (Eds.), Synergies in Analysis, Discrete Mathematics, Soft Computing and Modelling. Forum for Interdisciplinary Mathematics. , Springer, Singapore, pp. 123–138, 2023.

  255. Y. Makkena, R. Tella, N. Parekh, P. Saraf, Annu, H. Shukla, A. Matathammal, S. Danda, P. Chandrahas, A. Jadhav, P. Tammana, K. Kondepu and P. Rajalakshmi Implementation of Edge-Cloud for Autonomous Navigation Applications", accepted in 2023 International Conference on COMmunication Systems & NETworkS (COMSNETS), 2023.

  256. Srikanth HN, D Santhosh Reddy, Dinesh Kumar Sonkar, Ronit Kumar, P. Rajalakshmi "Pothole Detection for Autonomous Vehicles in Indian Scenarios using Deep Learning" accepted in 2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC), Nashville, Tennessee, USA.

  257. S. K. Amalapuram, B. R. Tamma, S. S. Channappayya, “SPIDER: A Semi-Supervised Continual Learning-based Network Intrusion Detection System,” accepted to IEEE INFOCOM 2024.

  258. A Gowtham Reddy, Saketh Bachu, Harsharaj Pathak, Benin Godfrey, Varshaneya V, Satyanarayana Kar, Vineeth N Balasubramanian, Towards Learning and Explaining Indirect Causal Effects in Neural Networks, Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI’24), Feb 2024.

  259. Sai Harsha Yelleni, Deepshikha Kumari, Srijith P.K., Krishna Mohan C., Monte Carlo DropBlock for modeling uncertainty in object detection, Pattern Recognition, 2024.

  260. Sandesh Kamath, Amit Deshpande, Vineeth N Balasubramanian, Rethinking Robustness of Model Attributions, Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI’24), Feb 2024.

  261. Hiran Sarkar, Vishal Chudasama, Naoyuki Onoe, Pankaj Wasnik, Vineeth N Balasubramanian, Open-set Object Detection By Aligning Known Class Representations, Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV’24), Jan 2024.

  262. Bhat Dittakavi, Vikas Desai, Kamakshi Callepalli, Aleti Vardhan, Vineeth N Balasubramanian, CARE: Counterfactual-based Algorithmic Recourse for Explainable Pose Correction, Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV’24), Jan 2024.

  263. A Gowtham Reddy, Vineeth N Balasubramanian, NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation, Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI’24), Feb 2024.

  264. Maharaj Brahma, Kaushal Kumar Maurya, Maunendra Sankar Desarkar. Unsupervised Noise Injection to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages. Findings of EMNLP. 6-10 Dec, 2024

  265. R. Fernandez-Peralta, S. Massanet, M. Baczynski and B. Jayaram, " On valuable and troubling practices in the research on classes of fuzzy implication functions " , Fuzzy Sets and Systems, 476, 108786, 2024.

  266. Arkadipta De, Maunendra Sankar Desarkar, and Asif Ekbal. Towards Improvement of Grounded Cross-Lingual Natural Language Inference with VisioTextual Attention. Accepted for publication in Elsevier Natural Language Processing Journal.

  267. Samujjwal Ghosh, Subhadeep Maji and Maunendra Sankar Desarkar. Unsupervised Domain Adaptation with Global and Local Graph Neural Networks under Limited Supervision and its Application to Disaster Response. Accepted for publication in IEEE Transactions on Computational Social Systems.

  268. C. R. Pochimireddy, A. T. Siripuram, S. S. Channappayya, “Can Perceptual Guidance Lead to Semantically Explainable Adversarial Perturbations?,” accepted to IEEE Journal of Special Topics in Signal Processing.