Neha Hulkund

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Shobhita SundaramMassachusetts Institute of TechnologyVerified email at mit.edu
Kyunghyun ChoNew York University, GenentechVerified email at nyu.edu
Dr. Marzyeh GhassemiAssistant Professor, EECS.CSAIL/IMES, MITVerified email at mit.edu
Nathan Hoyen NgUniversity of TorontoVerified email at cs.toronto.edu
Nicolò FusiPartner Researcher, Microsoft ResearchVerified email at microsoft.com
David Alvarez-MelisHarvard University & Microsoft ResearchVerified email at seas.harvard.edu

Neha Hulkund

Verified email at mit.edu - Homepage


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GAN-based Data Augmentation for Chest X-ray Classification S Sundaram, N Hulkund KDD 2021 Workshop on DSHealth, 2021	36	2021
Predicting Out-of-Domain Generalization with Neighborhood Invariance NH Ng, N Hulkund, K Cho, M Ghassemi Transactions on Machine Learning Research, 2023	13*	2023
Interpretable Distribution Shift Detection using Optimal Transport N Hulkund, N Fusi, JW Vaughan, D Alvarez-Melis ICML 2022 DataPerf Workshop, 2022	2	2022
Privacy-preserving data release leveraging optimal transport and particle gradient descent K Donhauser, J Abad, N Hulkund, F Yang arXiv preprint arXiv:2401.17823, 2024	1	2024
Limits of Algorithmic Stability for Distributional Generalization N Hulkund, VM Suriyakumar, TW Killian, M Ghassemi NeurIPS Women in Machine Learning Workshop, 2022		2022
Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2022 Symposium S Hegselmann, H Zhou, Y Zhou, J Chien, S Nagaraj, N Hulkund, S Bhave, ...

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