Robust optic nerve segmentation on clinically acquired CT. - Swetasudha Panda; Andrew J. Asman; Michael P. DeLisi; Louise A. Mawn; Robert L. Galloway; Bennett A. Landman (Image Processing, 2014)

Shape-constrained multi-atlas segmentation of spleen in CT. - Zhoubing Xu; Bo Li 026; Swetasudha Panda; Andrew J. Asman; Kristen L. Merkle; Peter L. Shanahan; Richard G. Abramson; Bennett A. Landman (Image Processing, 2014)

Designing Vaccines that Are Robust to Virus Escape. - Swetasudha Panda; Yevgeniy Vorobeychik (AAAI, 2015)

Stackelberg Games for Vaccine Design. - Swetasudha Panda; Yevgeniy Vorobeychik (AAMAS, 2015)

Stackelberg Games for Robust Vaccine Design. - Swetasudha Panda; Yevgeniy Vorobeychik (AAMAS, 2015)

Near-Optimal Interdiction of Factored MDPs. - Swetasudha Panda; Yevgeniy Vorobeychik (UAI, 2017)

Scalable Initial State Interdiction for Factored MDPs. - Swetasudha Panda; Yevgeniy Vorobeychik (IJCAI, 2018)

Integrating linear optimization with structural modeling to increase HIV neutralization breadth. - Alexander M. Sevy; Swetasudha Panda; James E. Crowe Jr.; Jens Meiler; Yevgeniy Vorobeychik (PLoS Comput. Biol., 2018)

Algorithms for Large-Scale Adversarial Decision Problems. - Swetasudha Panda (2018)

Scaling Hierarchical Coreference with Homomorphic Compression. - Michael L. Wick; Swetasudha Panda; Joseph Tassarotti; Jean-Baptiste Tristan (AKBC, 2019)

Unlocking Fairness: a Trade-off Revisited. - Michael L. Wick; Swetasudha Panda; Jean-Baptiste Tristan (NeurIPS, 2019)

Online Post-Processing in Rankings for Fair Utility Maximization. - Ananya Gupta; Eric Johnson; Justin Payan; Aditya Kumar Roy; Ari Kobren; Swetasudha Panda; Jean-Baptiste Tristan; Michael L. Wick (WSDM, 2021)

Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models. - Ryan Steed; Swetasudha Panda; Ari Kobren; Michael L. Wick (ACL (1), 2022)

Don't Just Clean It, Proxy Clean It: Mitigating Bias by Proxy in Pre-Trained Models. - Swetasudha Panda; Ari Kobren; Michael L. Wick; Qinlan Shen (EMNLP (Findings), 2022)

Understanding the Interplay of Scale, Data, and Bias in Language Models: A Case Study with BERT. - Muhammad Ali; Swetasudha Panda; Qinlan Shen; Michael L. Wick; Ari Kobren (CoRR, 2024)