| Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks A Chattopadhay, A Sarkar, P Howlader, VN Balasubramanian 2018 IEEE winter conference on applications of computer vision (WACV), 839-847, 2018 | 2899 | 2018 |
| Neural network attributions: A causal perspective A Chattopadhyay, P Manupriya, A Sarkar, VN Balasubramanian International Conference on Machine Learning, 981-990, 2019 | 157 | 2019 |
| Role of urea–aromatic stacking interactions in stabilizing the aromatic residues of the protein in urea-induced denatured state S Goyal, A Chattopadhyay, K Kasavajhala, UD Priyakumar Journal of the American Chemical Society 139 (42), 14931-14946, 2017 | 60 | 2017 |
| Interpretable by design: Learning predictors by composing interpretable queries A Chattopadhyay, S Slocum, BD Haeffele, R Vidal, D Geman IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 7430-7443, 2022 | 14 | 2022 |
| Quantifying task complexity through generalized information measures A Chattopadhyay, BD Haeffele, D Geman, R Vidal | 11 | 2019 |
| Variational information pursuit for interpretable predictions A Chattopadhyay, KHR Chan, BD Haeffele, D Geman, R Vidal The Eleventh International Conference on Learning Representations, 2023 | 10 | 2023 |
| Energetic, structural and dynamic properties of nucleobase-urea interactions that aid in urea assisted RNA unfolding T Jaganade, A Chattopadhyay, NM Pazhayam, UD Priyakumar Scientific Reports 9 (1), 8805, 2019 | 10 | 2019 |
| Learning graph variational autoencoders with constraints and structured priors for conditional indoor 3d scene generation A Chattopadhyay, X Zhang, DP Wipf, H Arora, R Vidal Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023 | 9* | 2023 |
| Information maximization perspective of orthogonal matching pursuit with applications to explainable ai A Chattopadhyay, R Pilgrim, R Vidal Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
| A probabilistic framework for constructing temporal relations in replica exchange molecular trajectories A Chattopadhyay, M Zheng, MP Waller, UD Priyakumar Journal of chemical theory and computation 14 (7), 3365-3380, 2018 | 6 | 2018 |
| Urea-water solvation of protein side chain models T Jaganade, A Chattopadhyay, S Raghunathan, UD Priyakumar Journal of Molecular Liquids 311, 113191, 2020 | 5 | 2020 |
| Bootstrapping variational information pursuit with large language and vision models for interpretable image classification A Chattopadhyay, KHR Chan, R Vidal The Twelfth International Conference on Learning Representations, 2024 | 1 | 2024 |
| Learning Interpretable Queries for Explainable Image Classification with Information Pursuit S Kolek, A Chattopadhyay, KHR Chan, H Andrade-Loarca, G Kutyniok, ... arXiv preprint arXiv:2312.11548, 2023 | 1 | 2023 |
| PaCE: Parsimonious Concept Engineering for Large Language Models J Luo, T Ding, KHR Chan, D Thaker, A Chattopadhyay, C Callison-Burch, ... arXiv preprint arXiv:2406.04331, 2024 | | 2024 |
| Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions KHR Chan, A Chattopadhyay, BD Haeffele, R Vidal arXiv preprint arXiv:2308.12562, 2023 | | 2023 |
| A probabilistic framework for constructing temporal relations in Monte Carlo trajectories A Chattopadhyay International Institute of Information Technology, 2018 | | 2018 |
| Performance Bounds for Active Binary Testing with Information Maximization A Chattopadhyay, BD Haeffele, R Vidal, D Geman Forty-first International Conference on Machine Learning, 0 | | |
Vineeth N BalasubramanianProfessor, Indian Institute of Technology, Hyderabad, India在 iith.ac.in 的电子邮件经过验证
