Chattopadhyay, Aditya

10 publications

ICLR 2025 InCoDe: Interpretable Compressed Descriptions for Image Generation Armand Comas, Aditya Chattopadhyay, Feliu Formosa, Changyu Liu, Octavia Camps, Rene Vidal

ICCV 2025 Learning Interpretable Queries for Explainable Image Classification with Information Pursuit Stefan Kolek, Aditya Chattopadhyay, Kwan Ho Ryan Chan, Hector Andrade-Loarca, Gitta Kutyniok, René Vidal

ICLR 2024 Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification Aditya Chattopadhyay, Kwan Ho Ryan Chan, Rene Vidal

NeurIPS 2024 PaCE: Parsimonious Concept Engineering for Large Language Models Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Darshan Thaker, Aditya Chattopadhyay, Chris Callison-Burch, René Vidal

ICML 2024 Performance Bounds for Active Binary Testing with Information Maximization Aditya Chattopadhyay, Benjamin David Haeffele, Rene Vidal, Donald Geman

NeurIPS 2023 Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AI Aditya Chattopadhyay, Ryan Pilgrim, Rene Vidal

WACV 2023 Learning Graph Variational Autoencoders with Constraints and Structured Priors for Conditional Indoor 3D Scene Generation Aditya Chattopadhyay, Xi Zhang, David Paul Wipf, Himanshu Arora, René Vidal

ICLR 2023 Variational Information Pursuit for Interpretable Predictions Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin David Haeffele, Donald Geman, Rene Vidal

ICML 2019 Neural Network Attributions: A Causal Perspective Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar, Vineeth N Balasubramanian

WACV 2018 Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks Aditya Chattopadhyay, Anirban Sarkar, Prantik Howlader, Vineeth N. Balasubramanian