Aditya Chattopadhyay

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Image Classification

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Causal Interactions

Top Venues

Publications

Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Darshan Thaker, Aditya Chattopadhyay, Chris Callison-Burch, René Vidal
PaCE: Parsimonious Concept Engineering for Large Language Models. CoRR (2024)
Aditya Chattopadhyay, Kwan Ho Ryan Chan, René Vidal
Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification. ICLR (2024)
Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin D. Haeffele, Donald Geman, René Vidal
Variational Information Pursuit for Interpretable Predictions. CoRR (2023)
Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin David Haeffele, Donald Geman, René Vidal
Variational Information Pursuit for Interpretable Predictions. ICLR (2023)
Aditya Chattopadhyay, Ryan Pilgrim, René Vidal
Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AI. NeurIPS (2023)
Stefan Kolek, Aditya Chattopadhyay, Kwan Ho Ryan Chan, Héctor Andrade-Loarca, Gitta Kutyniok, René Vidal
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit. CoRR (2023)
Aditya Chattopadhyay, Xi Zhang, David Paul Wipf, Himanshu Arora, René Vidal
Learning Graph Variational Autoencoders with Constraints and Structured Priors for Conditional Indoor 3D Scene Generation. WACV (2023)
Aditya Chattopadhyay, Stewart Slocum, Benjamin D. Haeffele, René Vidal, Donald Geman
Interpretable by Design: Learning Predictors by Composing Interpretable Queries. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Kwan Ho Ryan Chan, Aditya Chattopadhyay, Benjamin David Haeffele, René Vidal
Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions. CoRR (2023)
Aditya Chattopadhyay, Stewart Slocum, Benjamin D. Haeffele, René Vidal, Donald Geman
Interpretable by Design: Learning Predictors by Composing Interpretable Queries. CoRR (2022)
Aditya Chattopadhyay, Xi Zhang, David Paul Wipf, Himanshu Arora, René Vidal
Structured Graph Variational Autoencoders for Indoor Furniture layout Generation. CoRR (2022)
Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar, Vineeth N. Balasubramanian
Neural Network Attributions: A Causal Perspective. CoRR (2019)
Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar, Vineeth N. Balasubramanian
Neural Network Attributions: A Causal Perspective. ICML (2019)
Aditya Chattopadhyay, Anirban Sarkar, Prantik Howlader, Vineeth N. Balasubramanian
Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks. WACV (2018)
Aditya Chattopadhyay, Anirban Sarkar, Prantik Howlader, Vineeth N. Balasubramanian
Grad-CAM++: Generalized Gradient-based Visual Explanations for Deep Convolutional Networks. CoRR (2017)