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20242026
most citedAdvancing Ante-Hoc Explainable Models through Generative Adversarial Networks

2 citations · 2 across the 4 of their papers we have counts for

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cs.CV2025

LogicCBMs: Logic-Enhanced Concept-Based Learning

Deepika SN Vemuri, Gautham Bellamkonda, Aditya Pola +1

Concept Bottleneck Models (CBMs) provide a basis for semantic abstractions within a neural network architecture. Such models have primarily been seen through the lens of interpreta…

cs.LG2025

Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models

Susmit Agrawal, Deepika Vemuri, Sri Siddarth Chakaravarthy P +1

Concept-based methods have emerged as a promising direction to develop interpretable neural networks in standard supervised settings. However, most works that study them in increme…