Gummadi, Krishna P.

13 publications

ICLR 2026 Hubble: A Model Suite to Advance the Study of LLM Memorization Johnny Wei, Ameya Godbole, Mohammad Aflah Khan, Ryan Yixiang Wang, Xiaoyuan Zhu, James Flemings, Nitya Kashyap, Krishna P. Gummadi, Willie Neiswanger, Robin Jia

ICLR 2026 In Agents We Trust, but Who Do Agents Trust? Latent Source Preferences Steer LLM Generations Mohammad Aflah Khan, Mahsa Amani, Soumi Das, Bishwamittra Ghosh, Qinyuan Wu, Krishna P. Gummadi, Manish Gupta, Abhilasha Ravichander

ICLR 2026 Rote Learning Considered Useful: Generalizing over Memorized Data in LLMs Qinyuan Wu, Soumi Das, Mahsa Amani, Bishwamittra Ghosh, Mohammad Aflah Khan, Krishna P. Gummadi, Muhammad Bilal Zafar

TMLR 2025 Investigating the Effects of Fairness Interventions Using Pointwise Representational Similarity Camila Kolling, Till Speicher, Vedant Nanda, Mariya Toneva, Krishna P. Gummadi

ICLR 2025 Lawma: The Power of Specialization for Legal Annotation Ricardo Dominguez-Olmedo, Vedant Nanda, Rediet Abebe, Stefan Bechtold, Christoph Engel, Jens Frankenreiter, Krishna P. Gummadi, Moritz Hardt, Michael Livermore

TMLR 2024 Understanding the Role of Invariance in Transfer Learning Till Speicher, Vedant Nanda, Krishna P. Gummadi

AAAI 2023 Do Invariances in Deep Neural Networks Align with Human Perception? Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller

AAAI 2022 CrossWalk: Fairness-Enhanced Node Representation Learning Ahmad Khajehnejad, Moein Khajehnejad, Mahmoudreza Babaei, Krishna P. Gummadi, Adrian Weller, Baharan Mirzasoleiman

AAAI 2020 Fair Updates in Two-Sided Market Platforms: On Incrementally Updating Recommendations Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi

JMLR 2019 Fairness Constraints: A Flexible Approach for Fair Classification Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi

IJCAI 2019 The Price of Local Fairness in Multistage Selection Vitalii Emelianov, George Arvanitakis, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau

AAAI 2018 Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning Nina Grgic-Hlaca, Muhammad Bilal Zafar, Krishna P. Gummadi, Adrian Weller

AISTATS 2017 Fairness Constraints: Mechanisms for Fair Classification Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi