ML Anthology

Goldstein, Mark

13 publications

ICLR 2025 Time After Time: Deep-Q Effect Estimation for Interventions on When and What to Do Yoav Wald, Mark Goldstein, Yonathan Efroni, Wouter A.C. van Amsterdam, Rajesh Ranganath
NeurIPS 2024 Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities Adriel Saporta, Aahlad Puli, Mark Goldstein, Rajesh Ranganath
ICML 2024 Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes Yifan Chen, Mark Goldstein, Mengjian Hua, Michael Samuel Albergo, Nicholas Matthew Boffi, Eric Vanden-Eijnden
ECCV 2024 SiT: Exploring Flow and Diffusion-Based Generative Models with Scalable Interpolant Transformers Nanye Ma, Mark Goldstein, Michael Albergo, Nicholas M Boffi, Eric Vanden-Eijnden, Saining Xie
ICML 2024 Stochastic Interpolants with Data-Dependent Couplings Michael Samuel Albergo, Mark Goldstein, Nicholas Matthew Boffi, Rajesh Ranganath, Eric Vanden-Eijnden
ICML 2024 What’s the Score? Automated Denoising Score Matching for Nonlinear Diffusions Raghav Singhal, Mark Goldstein, Rajesh Ranganath
ICLR 2023 Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions Raghav Singhal, Mark Goldstein, Rajesh Ranganath
CLeaR 2022 Learning Invariant Representations with Missing Data Mark Goldstein, Joern-Henrik Jacobsen, Olina Chau, Adriel Saporta, Aahlad Manas Puli, Rajesh Ranganath, Andrew Miller
MLHC 2022 Survival Mixture Density Networks Xintian Han, Mark Goldstein, Rajesh Ranganath
NeurIPS 2021 Inverse-Weighted Survival Games Xintian Han, Mark Goldstein, Aahlad Puli, Thomas Wies, Adler J. Perotte, Rajesh Ranganath
NeurIPSW 2021 Learning Invariant Representations with Missing Data Mark Goldstein, Joern-Henrik Jacobsen, Olina Chau, Adriel Saporta, Aahlad Manas Puli, Rajesh Ranganath, Andrew Miller
ICML 2021 Understanding Failures in Out-of-Distribution Detection with Deep Generative Models Lily Zhang, Mark Goldstein, Rajesh Ranganath
NeurIPS 2020 X-CAL: Explicit Calibration for Survival Analysis Mark Goldstein, Xintian Han, Aahlad Puli, Adler J. Perotte, Rajesh Ranganath