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Aditya Chattopadhyay
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2020 – today
- 2024
- [c7]Aditya Chattopadhyay, Kwan Ho Ryan Chan, René Vidal:
Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification. ICLR 2024 - [c6]Aditya Chattopadhyay, Benjamin David Haeffele, René Vidal, Donald Geman:
Performance Bounds for Active Binary Testing with Information Maximization. ICML 2024 - [i8]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 abs/2406.04331 (2024) - 2023
- [j1]Aditya Chattopadhyay
, Stewart Slocum, Benjamin D. Haeffele
Interpretable by Design: Learning Predictors by Composing Interpretable Queries. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7430-7443 (2023) - [c5]Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin David Haeffele, Donald Geman, René Vidal:
Variational Information Pursuit for Interpretable Predictions. ICLR 2023 - [c4]Aditya Chattopadhyay, Ryan Pilgrim, René Vidal:
Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AI. NeurIPS 2023 - [c3]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: 785-794 - [i7]Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin D. Haeffele, Donald Geman, René Vidal:
Variational Information Pursuit for Interpretable Predictions. CoRR abs/2302.02876 (2023) - [i6]Kwan Ho Ryan Chan, Aditya Chattopadhyay, Benjamin David Haeffele, René Vidal:
Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions. CoRR abs/2308.12562 (2023) - [i5]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 abs/2312.11548 (2023) - 2022
- [i4]Aditya Chattopadhyay, Xi Zhang, David Paul Wipf, Himanshu Arora, René Vidal:
Structured Graph Variational Autoencoders for Indoor Furniture layout Generation. CoRR abs/2204.04867 (2022) - [i3]Aditya Chattopadhyay, Stewart Slocum, Benjamin D. Haeffele, René Vidal, Donald Geman:
Interpretable by Design: Learning Predictors by Composing Interpretable Queries. CoRR abs/2207.00938 (2022)
2010 – 2019
- 2019
- [c2]Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar, Vineeth N. Balasubramanian:
Neural Network Attributions: A Causal Perspective. ICML 2019: 981-990 - [i2]Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar, Vineeth N. Balasubramanian:
Neural Network Attributions: A Causal Perspective. CoRR abs/1902.02302 (2019) - 2018
- [c1]Aditya Chattopadhyay, Anirban Sarkar, Prantik Howlader, Vineeth N. Balasubramanian
Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks. WACV 2018: 839-847 - 2017
- [i1]Aditya Chattopadhyay, Anirban Sarkar, Prantik Howlader, Vineeth N. Balasubramanian:
Grad-CAM++: Generalized Gradient-based Visual Explanations for Deep Convolutional Networks. CoRR abs/1710.11063 (2017)
Coauthor Index
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