Publications

2024

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

   Bib

   @inproceedings{chattopadhay024bootstrapping,
     title = {Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification},
     author = {Chattopadhyay, Aditya and Chan, Kwan Ho Ryan and Vidal, Rene},
     booktitle = {The Twelfth International Conference on Learning Representations},
     year = {2024},
     url = {https://openreview.net/forum?id=9bmTbVaA2A},
   }

2023

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

   Bib PDF Poster

   @inproceedings{chattopadhyay2023information,
     title = {Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AI},
     author = {Chattopadhyay, Aditya and Pilgrim, Ryan and Vidal, Rene},
     booktitle = {Thirty-seventh Conference on Neural Information Processing Systems},
     year = {2023},
     dimensions = {true},
     url = {https://openreview.net/forum?id=CAF4CnUblx&noteId=X5lWAIuuJF},
   }

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

   Bib PDF Poster

   @inproceedings{chattopadhyay2022variational,
     title = {Variational Information Pursuit for Interpretable Predictions},
     author = {Chattopadhyay, Aditya and Chan, Kwan Ho Ryan and Haeffele, Benjamin David and Geman, Donald and Vidal, Rene},
     booktitle = {The Eleventh International Conference on Learning Representations},
     year = {2023},
     doi = {10.48550/arXiv.2302.02876},
     dimensions = {true},
   }

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

   Bib PDF Poster

   @inproceedings{chattopadhyay2023learning,
     title = {Learning graph variational autoencoders with constraints and structured priors for conditional indoor 3D scene generation},
     author = {Chattopadhyay, Aditya and Zhang, Xi and Wipf, David Paul and Arora, Himanshu and Vidal, Ren{\'e}},
     booktitle = {Proceedings of the IEEE/CVF winter conference on applications of computer vision},
     pages = {785--794},
     year = {2023},
     doi = {10.1109/wacv56688.2023.00085},
     dimensions = {true},
   }

2022

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

   Bib PDF Poster

   @article{chattopadhyay2022interpretable,
     title = {Interpretable by design: Learning predictors by composing interpretable queries},
     author = {Chattopadhyay, Aditya and Slocum, Stewart and Haeffele, Benjamin D and Vidal, Rene and Geman, Donald},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     volume = {45},
     number = {6},
     pages = {7430--7443},
     year = {2022},
     publisher = {IEEE},
     doi = {10.1109/tpami.2022.3225162},
     dimensions = {true},
   }

2020

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

   Bib

   @article{jaganade2020urea,
     title = {Urea-water solvation of protein side chain models},
     author = {Jaganade, Tanashree and Chattopadhyay, Aditya and Raghunathan, Shampa and Priyakumar, U Deva},
     journal = {Journal of Molecular Liquids},
     volume = {311},
     pages = {113191},
     year = {2020},
     publisher = {Elsevier},
     doi = {10.1016/j.molliq.2020.113191},
     dimensions = {true}
   }

2019

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

   Bib PDF Poster

   @inproceedings{chattopadhyay2019neural,
     title = {Neural network attributions: A causal perspective},
     author = {Chattopadhyay, Aditya and Manupriya, Piyushi and Sarkar, Anirban and Balasubramanian, Vineeth N},
     booktitle = {International Conference on Machine Learning},
     pages = {981--990},
     year = {2019},
     organization = {PMLR},
     dimensions = {true},
   }

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

   Bib

   @article{jaganade2019energetic,
     title = {Energetic, structural and dynamic properties of nucleobase-urea interactions that aid in urea assisted RNA unfolding},
     author = {Jaganade, Tanashree and Chattopadhyay, Aditya and Pazhayam, Nila M and Priyakumar, U Deva},
     journal = {Scientific Reports},
     volume = {9},
     number = {1},
     pages = {8805},
     year = {2019},
     publisher = {Nature Publishing Group UK London},
     doi = {10.1038/s41598-019-45010-8},
     dimensions = {true}
   }

2018

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

   Bib PDF Poster

   @inproceedings{chattopadhay2018grad,
     title = {Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks},
     author = {Chattopadhyay, Aditya and Sarkar, Anirban and Howlader, Prantik and Balasubramanian, Vineeth N},
     booktitle = {2018 IEEE winter conference on applications of computer vision (WACV)},
     pages = {839--847},
     year = {2018},
     organization = {IEEE},
     doi = {10.1109/wacv.2018.00097},
     dimensions = {true},
   }

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

   Bib PDF

   @article{chattopadhyay2018probabilistic,
     title = {A probabilistic framework for constructing temporal relations in replica exchange molecular trajectories},
     author = {Chattopadhyay, Aditya and Zheng, Min and Waller, Mark P and Priyakumar, U Deva},
     journal = {Journal of chemical theory and computation},
     volume = {14},
     number = {7},
     pages = {3365--3380},
     year = {2018},
     publisher = {ACS Publications},
     doi = {10.1021/acs.jctc.7b01245},
     dimensions = {true},
   }

2017

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

   Bib PDF

   @article{goyal2017role,
     title = {Role of urea--aromatic stacking interactions in stabilizing the aromatic residues of the protein in urea-induced denatured state},
     author = {Goyal, Siddharth and Chattopadhyay, Aditya and Kasavajhala, Koushik and Priyakumar, U Deva},
     journal = {Journal of the American Chemical Society},
     volume = {139},
     number = {42},
     pages = {14931--14946},
     year = {2017},
     publisher = {ACS Publications},
     doi = {10.1021/jacs.7b05463},
     dimensions = {true},
   }