Mark Goldstein

32 papers A* 9B 1Journal 15Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do. ICLR Yoav Wald, Mark Goldstein, Yonathan Efroni, Wouter A. C. van Amsterdam, Rajesh Ranganath
2025	J	`jnl`	Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do. CoRR Yoav Wald, Mark Goldstein, Yonathan Efroni, Wouter A. C. van Amsterdam, Rajesh Ranganath
2024	A*	`conf`	Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities. NeurIPS Adriel Saporta, Aahlad Manas Puli, Mark Goldstein, Rajesh Ranganath
2024	J	`jnl`	Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities. CoRR Adriel Saporta, Aahlad Manas Puli, Mark Goldstein, Rajesh Ranganath
2024	A*	`conf`	Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes. ICML Yifan Chen, Mark Goldstein, Mengjian Hua, Michael S. Albergo, Nicholas Matthew Boffi, Eric Vanden-Eijnden
2024	J	`jnl`	Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes. CoRR Yifan Chen, Mark Goldstein, Mengjian Hua, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden
2024	—	`conf`	SiT: Exploring Flow and Diffusion-Based Generative Models with Scalable Interpolant Transformers. ECCV (77) Nanye Ma, Mark Goldstein, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden, Saining Xie
2024	J	`jnl`	SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers. CoRR Nanye Ma, Mark Goldstein, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden, Saining Xie
2024	A*	`conf`	Stochastic Interpolants with Data-Dependent Couplings. ICML Michael S. Albergo, Mark Goldstein, Nicholas Matthew Boffi, Rajesh Ranganath, Eric Vanden-Eijnden
2024	A*	`conf`	What's the score? Automated Denoising Score Matching for Nonlinear Diffusions. ICML Raghav Singhal, Mark Goldstein, Rajesh Ranganath
2024	J	`jnl`	What's the score? Automated Denoising Score Matching for Nonlinear Diffusions. CoRR Raghav Singhal, Mark Goldstein, Rajesh Ranganath
2023	J	`jnl`	A dynamic risk score for early prediction of cardiogenic shock using machine learning. CoRR 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
2023	J	`jnl`	Stochastic interpolants with data-dependent couplings. CoRR Michael S. Albergo, Mark Goldstein, Nicholas M. Boffi, Rajesh Ranganath, Eric Vanden-Eijnden
2023	A*	`conf`	Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions. ICLR Raghav Singhal, Mark Goldstein, Rajesh Ranganath
2023	J	`jnl`	Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions. CoRR Raghav Singhal, Mark Goldstein, Rajesh Ranganath
2022	—	`conf`	Learning Invariant Representations with Missing Data. CLeaR Mark Goldstein, Jörn-Henrik Jacobsen, Olina Chau, Adriel Saporta, Aahlad Manas Puli, Rajesh Ranganath, Andrew C. Miller
2022	—	`conf`	Survival Mixture Density Networks. MLHC Xintian Han, Mark Goldstein, Rajesh Ranganath
2022	J	`jnl`	Survival Mixture Density Networks. CoRR Xintian Han, Mark Goldstein, Rajesh Ranganath
2021	A*	`conf`	Inverse-Weighted Survival Games. NeurIPS Xintian Han, Mark Goldstein, Aahlad Manas Puli, Thomas Wies, Adler J. Perotte, Rajesh Ranganath
2021	J	`jnl`	Inverse-Weighted Survival Games. CoRR Xintian Han, Mark Goldstein, Aahlad Manas Puli, Thomas Wies, Adler J. Perotte, Rajesh Ranganath
2021	J	`jnl`	Learning Invariant Representations with Missing Data. CoRR Mark Goldstein, Jörn-Henrik Jacobsen, Olina Chau, Adriel Saporta, Aahlad Manas Puli, Rajesh Ranganath, Andrew C. Miller
2021	A*	`conf`	Understanding Failures in Out-of-Distribution Detection with Deep Generative Models. ICML Lily H. Zhang, Mark Goldstein, Rajesh Ranganath
2021	J	`jnl`	Understanding Failures in Out-of-Distribution Detection with Deep Generative Models. CoRR Lily H. Zhang, Mark Goldstein, Rajesh Ranganath
2021	J	`jnl`	X-CAL: Explicit Calibration for Survival Analysis. CoRR Mark Goldstein, Xintian Han, Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath
2020	A*	`conf`	X-CAL: Explicit Calibration for Survival Analysis. NeurIPS Mark Goldstein, Xintian Han, Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath
2017	—	`conf`	FRAPpuccino: Fault-detection through Runtime Analysis of Provenance. HotCloud Xueyuan Han, Thomas F. J.-M. Pasquier, Tanvi Ranjan, Mark Goldstein, Margo I. Seltzer
2017	J	`jnl`	FRAPpuccino: Fault-detection through Runtime Analysis of Provenance. CoRR Xueyuan Han, Thomas F. J.-M. Pasquier, Tanvi Ranjan, Mark Goldstein, Margo I. Seltzer
2017	J	`jnl`	Practical Whole-System Provenance Capture. CoRR Thomas F. J.-M. Pasquier, Xueyuan Han, Mark Goldstein, Thomas Moyer, David M. Eyers, Margo I. Seltzer, Jean Bacon
2017	—	`conf`	Practical whole-system provenance capture. SoCC Thomas F. J.-M. Pasquier, Xueyuan Han, Mark Goldstein, Thomas Moyer, David M. Eyers, Margo I. Seltzer, Jean Bacon
1998	B	`conf`	Gestural coherence and musical interaction design. SMC Mark Goldstein
1994	—	`conf`	Real-Time Additive Synthesis Controlled by a Mixture of Neural-Networks and Direct Manipulation of Physical and Perceptual Attributes. ICMC Adrian Freed, Mark Goldstein, Michael Goodwin, Michael Lee, Keith A. McMillen, Xavier Rodet, David Wessel, Matthew Wright
1985	—	`conf`	On Finding Rhythmic Patterns in Musical Lines. ICMC Bernard Mont-Reynaud, Mark Goldstein