Mark Goldstein

According to our database, Mark Goldstein authored at least 15 papers between 1985 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes.

Yifan Chen, Mark Goldstein, Mengjian Hua, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden

CoRR, 2024

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

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

CoRR, 2024

2023

Stochastic interpolants with data-dependent couplings.

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

CoRR, 2023

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

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

CoRR, 2023

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

Raghav Singhal, Mark Goldstein, Rajesh Ranganath

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Survival Mixture Density Networks.

Xintian Han, Mark Goldstein, Rajesh Ranganath

Proceedings of the Machine Learning for Healthcare Conference, 2022

Learning Invariant Representations with Missing Data.

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

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021

Inverse-Weighted Survival Games.

Xintian Han, Mark Goldstein, Aahlad Manas Puli, Thomas Wies, Adler J. Perotte, Rajesh Ranganath

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Lily H. Zhang, Mark Goldstein, Rajesh Ranganath

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

X-CAL: Explicit Calibration for Survival Analysis.

Mark Goldstein, Xintian Han, Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2017

FRAPpuccino: Fault-detection through Runtime Analysis of Provenance.

Xueyuan Han, Thomas F. J.-M. Pasquier, Tanvi Ranjan, Mark Goldstein, Margo I. Seltzer

Proceedings of the 9th USENIX Workshop on Hot Topics in Cloud Computing, 2017

Practical whole-system provenance capture.

Thomas F. J.-M. Pasquier, Xueyuan Han, Mark Goldstein, Thomas Moyer, David M. Eyers, Margo I. Seltzer, Jean Bacon

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

1998

Gestural coherence and musical interaction design.

Mark Goldstein

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

1994

Real-Time Additive Synthesis Controlled by a Mixture of Neural-Networks and Direct Manipulation of Physical and Perceptual Attributes.

Adrian Freed, Mark Goldstein, Michael Goodwin, Michael Lee, Keith A. McMillen, Xavier Rodet, David Wessel, Matthew Wright

Proceedings of the 1994 International Computer Music Conference, 1994

1985

On Finding Rhythmic Patterns in Musical Lines.

Bernard Mont-Reynaud, Mark Goldstein

Proceedings of the 1985 International Computer Music Conference, 1985