mark goldstein
goldstein [at] nyu [dot] edu
mgoldstein [at] flatironinstitute [dot] org
I am a Research Fellow in the Center for Computational Mathematics at the Flatiron Institute. Previously, I completed my PhD at NYU's Courant Institute of Mathematical Sciences, advised by Rajesh Ranganath. My research focuses on deep generative models and machine learning in the sciences.
News
- [2026] flow map learning with stopgrads + provable stationary points at ICLR 2026. paper coming soon.
- [2025] I have started at the Flatiron Institute!
- [Aug 2025] I have defended! on august 8, 2025.
- [2025] glad to be attending Learning on Graphs NYC.
- [2025] taking part in the D.E. Shaw Research PhD+Postdoc Fellowship.
- [2025] Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do at ICLR 2025.
- [2024] see you @ neurips 2024 in Vancouver!
- [2024] Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities at NeurIPS 2024.
- [2024] student researcher at Google DeepMind NYC with Will Grathwohl, June-Dec 2024!
- [2024] Scalable Interpolant Transformers at ECCV 2024.
- [2024] What's the score? Automated Denoising Score Matching for Nonlinear Diffusions at ICML 2024.
- [2024] Stochastic interpolants with data-dependent couplings. Spotlight at ICML 2024.
- [2024] Probabilistic forecasting with stochastic interpolants and Föllmer processes at ICML 2024.
- [2024] A dynamic risk score for early prediction of cardiogenic shock using machine learning at European Heart Journal.
- [2024] QTNet: Predicting Drug-Induced QT Prolongation with Artificial Intelligence-Enabled Electrocardiograms at JACC, Clinical Electrophysiology.
- [2023] talk @ Decisions, Risk and Operations ML reading group at Columbia.
- [2023] taking part @ Flatiron Institute's second workshop on Measure Transport, Sampling, and Diffusions!
- [2023] we are running the second iteration of the workshop on Spurious Correlations, Invariance, and Stability at ICML 2023.
- [2023] Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions at ICLR 2023.
- [2022] talk @ Flatiron Institute's workshop on Sampling, Transport, and Diffusions!
- [2022] co-organize the Workshop on Spurious Correlations, Invariance, and Stability at ICML 2022!
- [2022] Survival Mixture Density Networks at MLHC 2022.
- [2022] glad to continue at Apple Health AI for summer 2022!
- [2022] Learning Invariant Representations with Missing Data at CLeaR 2022.
- [2021] Inverse-Weighted Survival Games at NeurIPS 2021.
- [2021] working with Apple's Health AI team during summer 2021, supervised by Andy Miller and team!
- [2021] Understanding Failures in Out-of-Distribution Detection with Deep Generative Models at ICML 2021.
- [Fall 2020] I qualified! Upgrade from Student to Candidate.
- [2020] X-CAL: Explicit Calibration for Survival Analysis at NeurIPS 2020.
- [2019] I'm working in Emtiyaz Khan's Approximate Bayesian Inference group at RIKEN AIP in Tokyo!