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Aditya Chattopadhyay
Aditya Chattopadhyay
Johns Hopkins University
Verified email at jh.edu
Title
Cited by
Cited by
Year
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
9212018
Neural network attributions: A causal perspective
A Chattopadhyay, P Manupriya, A Sarkar, VN Balasubramanian
International Conference on Machine Learning, 981-990, 2019
742019
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
442017
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
62019
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
52018
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
22020
Quantifying Task Complexity Through Generalized Information Measures
A Chattopadhyay, BD Haeffele, D Geman, R Vidal
12020
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
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