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Debiasing Vision-Language Models via Biased Prompts


Jan 31, 2023
Ching-Yao Chuang, Varun Jampani, Yuanzhen Li, Antonio Torralba, Stefanie Jegelka

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Efficiently predicting high resolution mass spectra with graph neural networks


Jan 26, 2023
Michael Murphy, Stefanie Jegelka, Ernest Fraenkel, Tobias Kind, David Healey, Thomas Butler

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Optimal algorithms for group distributionally robust optimization and beyond


Dec 28, 2022
Tasuku Soma, Khashayar Gatmiry, Stefanie Jegelka

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InfoOT: Information Maximizing Optimal Transport


Oct 06, 2022
Ching-Yao Chuang, Stefanie Jegelka, David Alvarez-Melis

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Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks


Oct 04, 2022
Ching-Yao Chuang, Stefanie Jegelka

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* NeurIPS 2022 

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On the generalization of learning algorithms that do not converge


Aug 19, 2022
Nisha Chandramoorthy, Andreas Loukas, Khashayar Gatmiry, Stefanie Jegelka

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* 27 pages, under review 

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Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions


Aug 08, 2022
Nikolaos Karalias, Joshua Robinson, Andreas Loukas, Stefanie Jegelka

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Theory of Graph Neural Networks: Representation and Learning


Apr 16, 2022
Stefanie Jegelka

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Sign and Basis Invariant Networks for Spectral Graph Representation Learning


Apr 11, 2022
Derek Lim, Joshua Robinson, Lingxiao Zhao, Tess Smidt, Suvrit Sra, Haggai Maron, Stefanie Jegelka

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* 35 pages 

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