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Mark Goldstein
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2020 – today
- 2024
- [c15]Nanye Ma, Mark Goldstein, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden, Saining Xie:
SiT: Exploring Flow and Diffusion-Based Generative Models with Scalable Interpolant Transformers. ECCV (77) 2024: 23-40 - [c14]Michael S. Albergo, Mark Goldstein, Nicholas Matthew Boffi, Rajesh Ranganath, Eric Vanden-Eijnden:
Stochastic Interpolants with Data-Dependent Couplings. ICML 2024 - [c13]Yifan Chen, Mark Goldstein, Mengjian Hua, Michael S. Albergo, Nicholas Matthew Boffi, Eric Vanden-Eijnden:
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes. ICML 2024 - [c12]Raghav Singhal, Mark Goldstein, Rajesh Ranganath:
What's the score? Automated Denoising Score Matching for Nonlinear Diffusions. ICML 2024 - [i13]Nanye Ma, Mark Goldstein, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden, Saining Xie:
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers. CoRR abs/2401.08740 (2024) - [i12]Yifan Chen, Mark Goldstein, Mengjian Hua, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden:
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes. CoRR abs/2403.13724 (2024) - [i11]Raghav Singhal, Mark Goldstein, Rajesh Ranganath:
What's the score? Automated Denoising Score Matching for Nonlinear Diffusions. CoRR abs/2407.07998 (2024) - 2023
- [c11]Raghav Singhal, Mark Goldstein, Rajesh Ranganath:
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions. ICLR 2023 - [i10]Raghav Singhal, Mark Goldstein, Rajesh Ranganath:
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions. CoRR abs/2302.07261 (2023) - [i9]Yuxuan Hu, Albert Lui, Mark Goldstein, Mukund Sudarshan, Andrea Tinsay, Cindy Tsui, Samuel Maidman, John Medamana, Neil Jethani, Aahlad Manas Puli, Vuthy Nguy, Yindalon Aphinyanaphongs, Nicholas Kiefer, Nathaniel Smilowitz, James Horowitz, Tania Ahuja, Glenn I Fishman, Judith Hochman, Stuart Katz, Samuel Bernard, Rajesh Ranganath:
A dynamic risk score for early prediction of cardiogenic shock using machine learning. CoRR abs/2303.12888 (2023) - [i8]Michael S. Albergo, Mark Goldstein, Nicholas M. Boffi, Rajesh Ranganath, Eric Vanden-Eijnden:
Stochastic interpolants with data-dependent couplings. CoRR abs/2310.03725 (2023) - 2022
- [c10]Mark Goldstein, Jörn-Henrik Jacobsen, Olina Chau, Adriel Saporta, Aahlad Manas Puli, Rajesh Ranganath, Andrew C. Miller:
Learning Invariant Representations with Missing Data. CLeaR 2022: 290-301 - [c9]Xintian Han, Mark Goldstein, Rajesh Ranganath:
Survival Mixture Density Networks. MLHC 2022: 224-248 - [i7]Xintian Han, Mark Goldstein, Rajesh Ranganath:
Survival Mixture Density Networks. CoRR abs/2208.10759 (2022) - 2021
- [c8]Lily H. Zhang, Mark Goldstein, Rajesh Ranganath:
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models. ICML 2021: 12427-12436 - [c7]Xintian Han, Mark Goldstein, Aahlad Manas Puli, Thomas Wies, Adler J. Perotte, Rajesh Ranganath:
Inverse-Weighted Survival Games. NeurIPS 2021: 2160-2172 - [i6]Mark Goldstein, Xintian Han, Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath:
X-CAL: Explicit Calibration for Survival Analysis. CoRR abs/2101.05346 (2021) - [i5]Lily H. Zhang, Mark Goldstein, Rajesh Ranganath:
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models. CoRR abs/2107.06908 (2021) - [i4]Xintian Han, Mark Goldstein, Aahlad Manas Puli, Thomas Wies, Adler J. Perotte, Rajesh Ranganath:
Inverse-Weighted Survival Games. CoRR abs/2111.08175 (2021) - [i3]Mark Goldstein, Jörn-Henrik Jacobsen, Olina Chau, Adriel Saporta, Aahlad Manas Puli, Rajesh Ranganath, Andrew C. Miller:
Learning Invariant Representations with Missing Data. CoRR abs/2112.00881 (2021) - 2020
- [c6]Mark Goldstein, Xintian Han, Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath:
X-CAL: Explicit Calibration for Survival Analysis. NeurIPS 2020
2010 – 2019
- 2017
- [c5]Thomas F. J.-M. Pasquier
, Xueyuan Han, Mark Goldstein, Thomas Moyer, David M. Eyers
Practical whole-system provenance capture. SoCC 2017: 405-418 - [c4]Xueyuan Han, Thomas F. J.-M. Pasquier, Tanvi Ranjan, Mark Goldstein, Margo I. Seltzer:
FRAPpuccino: Fault-detection through Runtime Analysis of Provenance. HotCloud 2017 - [i2]Thomas F. J.-M. Pasquier, Xueyuan Han, Mark Goldstein, Thomas Moyer, David M. Eyers, Margo I. Seltzer, Jean Bacon:
Practical Whole-System Provenance Capture. CoRR abs/1711.05296 (2017) - [i1]Xueyuan Han, Thomas F. J.-M. Pasquier, Tanvi Ranjan, Mark Goldstein, Margo I. Seltzer:
FRAPpuccino: Fault-detection through Runtime Analysis of Provenance. CoRR abs/1711.11487 (2017)
1990 – 1999
- 1998
- [c3]Mark Goldstein:
Gestural coherence and musical interaction design. SMC 1998: 1076-1079 - 1994
- [c2]Adrian Freed, Mark Goldstein, Michael Goodwin, Michael Lee, Keith A. McMillen, Xavier Rodet, David Wessel, Matthew Wright:
Real-Time Additive Synthesis Controlled by a Mixture of Neural-Networks and Direct Manipulation of Physical and Perceptual Attributes. ICMC 1994
1980 – 1989
- 1985
- [c1]Bernard Mont-Reynaud, Mark Goldstein:
On Finding Rhythmic Patterns in Musical Lines. ICMC 1985
Coauthor Index
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