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Mark Goldstein

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SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers

Jan 16, 2024
Nanye Ma, Mark Goldstein, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden, Saining Xie

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Stochastic interpolants with data-dependent couplings

Oct 05, 2023
Michael S. Albergo, Mark Goldstein, Nicholas M. Boffi, Rajesh Ranganath, Eric Vanden-Eijnden

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A dynamic risk score for early prediction of cardiogenic shock using machine learning

Mar 28, 2023
Yuxuan Hu, Albert Lui, Mark Goldstein, Mukund Sudarshan, Andrea Tinsay, Cindy Tsui, Samuel Maidman, John Medamana, Neil Jethani, Aahlad Puli, Vuthy Nguy, Yindalon Aphinyanaphongs, Nicholas Kiefer, Nathaniel Smilowitz, James Horowitz, Tania Ahuja, Glenn I Fishman, Judith Hochman, Stuart Katz, Samuel Bernard, Rajesh Ranganath

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Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions

Feb 14, 2023
Raghav Singhal, Mark Goldstein, Rajesh Ranganath

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Survival Mixture Density Networks

Aug 23, 2022
Xintian Han, Mark Goldstein, Rajesh Ranganath

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Learning Invariant Representations with Missing Data

Dec 01, 2021
Mark Goldstein, Jörn-Henrik Jacobsen, Olina Chau, Adriel Saporta, Aahlad Puli, Rajesh Ranganath, Andrew C. Miller

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Inverse-Weighted Survival Games

Nov 16, 2021
Xintian Han, Mark Goldstein, Aahlad Puli, Thomas Wies, Adler J Perotte, Rajesh Ranganath

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Understanding Failures in Out-of-Distribution Detection with Deep Generative Models

Jul 16, 2021
Lily H. Zhang, Mark Goldstein, Rajesh Ranganath

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