Rao, Sukrut

8 publications

TMLR 2025 B-Cos LM: Efficiently Transforming Pre-Trained Language Models for Improved Explainability Yifan Wang, Sukrut Rao, Ji-Ung Lee, Mayank Jobanputra, Vera Demberg

NeurIPS 2025 FaCT: Faithful Concept Traces for Explaining Neural Network Decisions Amin Parchami-Araghi, Sukrut Rao, Jonas Fischer, Bernt Schiele

NeurIPS 2024 B-Cosification: Transforming Deep Neural Networks to Be Inherently Interpretable Shreyash Arya, Sukrut Rao, Moritz Böhle, Bernt Schiele

ECCV 2024 Discover-Then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery Sukrut Rao, Sweta Mahajan, Moritz Böhle, Bernt Schiele

ECCV 2024 Good Teachers Explain: Explanation-Enhanced Knowledge Distillation Amin Parchami-Araghi, Moritz Böhle, Sukrut Rao, Bernt Schiele

ICCV 2023 Studying How to Efficiently and Effectively Guide Models with Explanations Sukrut Rao, Moritz Böhle, Amin Parchami-Araghi, Bernt Schiele

CVPR 2022 Towards Better Understanding Attribution Methods Sukrut Rao, Moritz Böhle, Bernt Schiele

ECCVW 2020 Adversarial Training Against Location-Optimized Adversarial Patches Sukrut Rao, David Stutz, Bernt Schiele