Kumaraguru, Ponnurangam

18 publications

ICML 2025 A Cognac Shot to Forget Bad Memories: Corrective Unlearning for Graph Neural Networks Varshita Kolipaka, Akshit Sinha, Debangan Mishra, Sumit Kumar, Arvindh Arun, Shashwat Goel, Ponnurangam Kumaraguru

ICLRW 2025 Can Language Models Falsify? the Need for Inverse Benchmarking Shiven Sinha, Shashwat Goel, Ponnurangam Kumaraguru, Jonas Geiping, Matthias Bethge, Ameya Prabhu

ICML 2025 Great Models Think Alike and This Undermines AI Oversight Shashwat Goel, Joschka Strüber, Ilze Amanda Auzina, Karuna K Chandra, Ponnurangam Kumaraguru, Douwe Kiela, Ameya Prabhu, Matthias Bethge, Jonas Geiping

ICLRW 2025 Great Models Think Alike and This Undermines AI Oversight Shashwat Goel, Joschka Strüber, Ilze Amanda Auzina, Karuna K Chandra, Ponnurangam Kumaraguru, Douwe Kiela, Ameya Prabhu, Matthias Bethge, Jonas Geiping

AAAI 2025 Higher Order Structures for Graph Explanations Akshit Sinha, Sreeram Vennam, Charu Sharma, Ponnurangam Kumaraguru

TMLR 2024 Corrective Machine Unlearning Shashwat Goel, Ameya Prabhu, Philip Torr, Ponnurangam Kumaraguru, Amartya Sanyal

NeurIPSW 2024 Emergence of Text Semantics in CLIP Image Encoders Sreeram Vennam, Shashwat Singh, Anirudh Govil, Ponnurangam Kumaraguru

NeurIPSW 2024 LLM Vocabulary Compression for Low-Compute Environments Sreeram Vennam, Anish R Joishy, Ponnurangam Kumaraguru

NeurIPS 2024 RanDumb: Random Representations Outperform Online Continually Learned Representations Ameya Prabhu, Shiven Sinha, Ponnurangam Kumaraguru, Philip H.S. Torr, Ozan Sener, Puneet K. Dokania

ICML 2024 Representation Surgery: Theory and Practice of Affine Steering Shashwat Singh, Shauli Ravfogel, Jonathan Herzig, Roee Aharoni, Ryan Cotterell, Ponnurangam Kumaraguru

ICML 2024 The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti, Justin D. Li, Ann-Kathrin Dombrowski, Shashwat Goel, Gabriel Mukobi, Nathan Helm-Burger, Rassin Lababidi, Lennart Justen, Andrew Bo Liu, Michael Chen, Isabelle Barrass, Oliver Zhang, Xiaoyuan Zhu, Rishub Tamirisa, Bhrugu Bharathi, Ariel Herbert-Voss, Cort B Breuer, Andy Zou, Mantas Mazeika, Zifan Wang, Palash Oswal, Weiran Lin, Adam Alfred Hunt, Justin Tienken-Harder, Kevin Y. Shih, Kemper Talley, John Guan, Ian Steneker, David Campbell, Brad Jokubaitis, Steven Basart, Stephen Fitz, Ponnurangam Kumaraguru, Kallol Krishna Karmakar, Uday Tupakula, Vijay Varadharajan, Yan Shoshitaishvili, Jimmy Ba, Kevin M. Esvelt, Alexandr Wang, Dan Hendrycks

NeurIPSW 2024 Wu’s Method Boosts Symbolic AI to Rival Silver Medalists and AlphaGeometry to Outperform Gold Medalists at IMO Geometry Shiven Sinha, Ameya Prabhu, Ponnurangam Kumaraguru, Siddharth Bhat, Matthias Bethge

WACV 2023 A Suspect Identification Framework Using Contrastive Relevance Feedback Devansh Gupta, Aditya Saini, Sarthak Bhagat, Shagun Uppal, Rishi Raj Jain, Drishti Bhasin, Ponnurangam Kumaraguru, Rajiv Ratn Shah

AAAI 2022 Contrastive Personalization Approach to Suspect Identification (Student Abstract) Devansh Gupta, Drishti Bhasin, Sarthak Bhagat, Shagun Uppal, Ponnurangam Kumaraguru, Rajiv Ratn Shah

AAAI 2021 Detecting Lexical Semantic Change Across Corpora with Smooth Manifolds (Student Abstract) Anmol Goel, Ponnurangam Kumaraguru

AAAI 2020 SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning (Student Abstract) Shivangi Singhal, Anubha Kabra, Mohit Sharma, Rajiv Ratn Shah, Tanmoy Chakraborty, Ponnurangam Kumaraguru

AAAI 2019 Get IT Scored Using AutoSAS - An Automated System for Scoring Short Answers Yaman Kumar, Swati Aggarwal, Debanjan Mahata, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Roger Zimmermann

AAAI 2019 Mind Your Language: Abuse and Offense Detection for Code-Switched Languages Raghav Kapoor, Yaman Kumar, Kshitij Rajput, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Roger Zimmermann