Publications by categories in reversed chronological order.


  1. ICLR
    Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification
    Aditya Chattopadhyay, Kwan Ho Ryan Chan, and Rene Vidal
    In The Twelfth International Conference on Learning Representations, 2024


  1. NeuRIPS
    Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AI
    Aditya Chattopadhyay, Ryan Pilgrim, and Rene Vidal
    In Thirty-seventh Conference on Neural Information Processing Systems, 2023
  2. ICLR
    Variational Information Pursuit for Interpretable Predictions
    Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin David Haeffele, and 2 more authors
    In The Eleventh International Conference on Learning Representations, 2023
  3. WACV
    Learning graph variational autoencoders with constraints and structured priors for conditional indoor 3D scene generation
    Aditya Chattopadhyay, Xi Zhang, David Paul Wipf, and 2 more authors
    In Proceedings of the IEEE/CVF winter conference on applications of computer vision, 2023


  1. TPAMI
    Interpretable by design: Learning predictors by composing interpretable queries
    Aditya Chattopadhyay, Stewart Slocum, Benjamin D Haeffele, and 2 more authors
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022


  1. J. Mol. Liq.
    Urea-water solvation of protein side chain models
    Tanashree Jaganade, Aditya Chattopadhyay, Shampa Raghunathan, and 1 more author
    Journal of Molecular Liquids, 2020


  1. ICML
    Neural network attributions: A causal perspective
    Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar, and 1 more author
    In International Conference on Machine Learning, 2019
  2. Sci. Rep.
    Energetic, structural and dynamic properties of nucleobase-urea interactions that aid in urea assisted RNA unfolding
    Tanashree Jaganade, Aditya Chattopadhyay, Nila M Pazhayam, and 1 more author
    Scientific Reports, 2019


  1. WACV
    Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks
    Aditya Chattopadhyay, Anirban Sarkar, Prantik Howlader, and 1 more author
    In 2018 IEEE winter conference on applications of computer vision (WACV), 2018
  2. JCTC
    A probabilistic framework for constructing temporal relations in replica exchange molecular trajectories
    Aditya Chattopadhyay, Min Zheng, Mark P Waller, and 1 more author
    Journal of chemical theory and computation, 2018


  1. JACS
    Role of urea–aromatic stacking interactions in stabilizing the aromatic residues of the protein in urea-induced denatured state
    Siddharth Goyal, Aditya Chattopadhyay, Koushik Kasavajhala, and 1 more author
    Journal of the American Chemical Society, 2017