Approximation Strategies for Incomplete MaxSAT. - Saurabh Joshi 001; Prateek Kumar 001; Ruben Martins; Sukrut Rao (CP, 2018)

Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification. - Vaibhav B. Sinha; Sukrut Rao; Vineeth N. Balasubramanian (CoRR, 2018)

Open-WBO-Inc: Approximation Strategies for Incomplete Weighted MaxSAT. - Saurabh Joshi 001; Prateek Kumar 001; Sukrut Rao; Ruben Martins (J. Satisf. Boolean Model. Comput., 2019)

Adversarial Training Against Location-Optimized Adversarial Patches. - Sukrut Rao; David Stutz; Bernt Schiele (ECCV Workshops (5), 2020)

Towards Better Understanding Attribution Methods. - Sukrut Rao; Moritz Böhle; Bernt Schiele (CVPR, 2022)

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

Good Teachers Explain: Explanation-Enhanced Knowledge Distillation. - Amin Parchami-Araghi; Moritz Böhle; Sukrut Rao; Bernt Schiele (ECCV (73), 2024)

Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. - Sukrut Rao; Sweta Mahajan; Moritz Böhle; Bernt Schiele (ECCV (77), 2024)

B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable. - Shreyash Arya; Sukrut Rao; Moritz Böhle; Bernt Schiele (NeurIPS, 2024)

Better Understanding Differences in Attribution Methods via Systematic Evaluations. - Sukrut Rao; Moritz Böhle; Bernt Schiele (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

B-cos LM: Efficiently Transforming Pre-trained Language Models for Improved Explainability. - Yifan Wang 019; Sukrut Rao; Ji-Ung Lee; Mayank Jobanputra; Vera Demberg (CoRR, 2025)