Aditya Chattopadhyay
10 papers · 2019–2026 · 6 venues · across top CS/AI venues
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (19)
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Research topics
Keywords
image classification
(2)
information pursuit
(2)
sparse coding
(2)
variational inference
(2)
vision-language model
(2)
model alignment
(1)
feature attribution
(1)
neural network interpretability
(1)
explainable ai
(1)
conditional generation
(1)
image generation
(1)
interpretable machine learning
(1)
conditional probability
(1)
kalman filter
(1)
mutual information
(1)
ridge regression
(1)
entropy
(1)
adaptive regularization
(1)
information maximization
(1)
orthogonal matching pursuit
(1)
Papers
Gated KalmaNet: A Fading Memory Layer through Test-time Ridge Regression
CVPR 2026
InCoDe: Interpretable Compressed Descriptions For Image Generation
ICLR 2025
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit
ICCV 2025
Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification
ICLR 2024
PaCE: Parsimonious Concept Engineering for Large Language Models
NeurIPS 2024
Performance Bounds for Active Binary Testing with Information Maximization
ICML 2024
Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AI
NeurIPS 2023
Learning Graph Variational Autoencoders With Constraints and Structured Priors for Conditional Indoor 3D Scene Generation
WACV 2023
Variational Information Pursuit for Interpretable Predictions
ICLR 2023
Neural Network Attributions: A Causal Perspective
ICML 2019