Aditya Chattopadhyay

According to our database, Aditya Chattopadhyay authored at least 9 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Interpretable by Design: Learning Predictors by Composing Interpretable Queries.

Aditya Chattopadhyay, Stewart Slocum, Benjamin D. Haeffele, René Vidal, Donald Geman

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Learning Interpretable Queries for Explainable Image Classification with Information Pursuit.

Stefan Kolek, Aditya Chattopadhyay, Kwan Ho Ryan Chan, Héctor Andrade-Loarca, Gitta Kutyniok, René Vidal

CoRR, 2023

Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions.

Kwan Ho Ryan Chan, Aditya Chattopadhyay, Benjamin David Haeffele, René Vidal

CoRR, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AI.

Aditya Chattopadhyay, Ryan Pilgrim, René Vidal

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Variational Information Pursuit for Interpretable Predictions.

Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin David Haeffele, Donald Geman, René Vidal

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Structured Graph Variational Autoencoders for Indoor Furniture layout Generation.

Aditya Chattopadhyay, Xi Zhang, David Paul Wipf, Himanshu Arora, René Vidal

CoRR, 2022

2019

Neural Network Attributions: A Causal Perspective.

Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar, Vineeth N. Balasubramanian

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks.

Aditya Chattopadhyay, Anirban Sarkar, Prantik Howlader, Vineeth N. Balasubramanian

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018