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Mark Goldstein
Mark Goldstein
Courant Institute, NYU
Verified email at nyu.edu - Homepage
Title
Cited by
Cited by
Year
Practical whole-system provenance capture
T Pasquier, X Han, M Goldstein, T Moyer, D Eyers, M Seltzer, J Bacon
Proceedings of the 2017 Symposium on Cloud Computing, 405-418, 2017
1612017
Understanding failures in out-of-distribution detection with deep generative models
L Zhang, M Goldstein, R Ranganath
International Conference on Machine Learning, 12427-12436, 2021
782021
{FRAPpuccino}: Fault-detection through Runtime Analysis of Provenance
X Han, T Pasquier, T Ranjan, M Goldstein, M Seltzer
9th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 17), 2017
532017
X-CAL: Explicit Calibration for Survival Analysis
M Goldstein, X Han, A Puli, AJ Perotte, R Ranganath
Advances in Neural Information Processing Systems 2020 33, 2020
312020
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions
R Singhal, M Goldstein, R Ranganath
arXiv preprint arXiv:2302.07261, 2023
112023
Inverse-weighted survival games
X Han, M Goldstein, A Puli, T Wies, A Perotte, R Ranganath
Advances in neural information processing systems 34, 2160-2172, 2021
9*2021
Learning invariant representations with missing data
M Goldstein, JH Jacobsen, O Chau, A Saporta, AM Puli, R Ranganath, ...
Conference on Causal Learning and Reasoning, 290-301, 2022
72022
Stochastic interpolants with data-dependent couplings
MS Albergo, M Goldstein, NM Boffi, R Ranganath, E Vanden-Eijnden
arXiv preprint arXiv:2310.03725, 2023
62023
Survival mixture density networks
X Han, M Goldstein, R Ranganath
Machine Learning for Healthcare Conference, 224-248, 2022
52022
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers
N Ma, M Goldstein, MS Albergo, NM Boffi, E Vanden-Eijnden, S Xie
arXiv preprint arXiv:2401.08740, 2024
12024
A dynamic risk score for early prediction of cardiogenic shock using machine learning
Y Hu, A Lui, M Goldstein, M Sudarshan, A Tinsay, C Tsui, S Maidman, ...
arXiv preprint arXiv:2303.12888, 2023
2023
GATO: Gates Are Not the Only Option
M Goldstein, X Han, R Ranganath
2019
QTNet: Predicting Drug-Induced QT Prolongation with Artificial Intelligence-Enabled Electrocardiograms
H Zhang, C Tarabanis, N Jethani, M Goldstein, S Smith, LA Chinitz, ...
Available at SSRN 4554451, 0
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