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 | 921 | 2018 |
Neural network attributions: A causal perspective A Chattopadhyay, P Manupriya, A Sarkar, VN Balasubramanian International Conference on Machine Learning, 981-990, 2019 | 74 | 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 | 44 | 2017 |
Energetic, structural and dynamic properties of nucleobase-urea interactions that aid in urea assisted RNA unfolding T Jaganade, A Chattopadhyay, NM Pazhayam, U Priyakumar Scientific reports 9 (1), 1-12, 2019 | 6 | 2019 |
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 | 5 | 2018 |
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks. arXiv 2017 A Chattopadhyay, A Sarkar, P Howlader, VN Balasubramanian arXiv preprint arXiv:1710.11063, 0 | 5 | |
Urea-water solvation of protein side chain models T Jaganade, A Chattopadhyay, S Raghunathan, UD Priyakumar Journal of Molecular Liquids 311, 113191, 2020 | 2 | 2020 |
Quantifying Task Complexity Through Generalized Information Measures A Chattopadhyay, BD Haeffele, D Geman, R Vidal | 1 | 2020 |
Structured Graph Variational Autoencoders for Indoor Furniture layout Generation A Chattopadhyay, X Zhang, DP Wipf, R Vidal, H Arora arXiv preprint arXiv:2204.04867, 2022 | | 2022 |
A probabilistic framework for constructing temporal relations in Monte Carlo trajectories A Chattopadhyay International Institute of Information Technology, 2018 | | 2018 |