Shaul, Neta

8 publications

NeurIPS 2025 Corrector Sampling in Language Models Itai Gat, Neta Shaul, Uriel Singer, Yaron Lipman

ICLR 2025 Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective Neta Shaul, Itai Gat, Marton Havasi, Daniel Severo, Anuroop Sriram, Peter Holderrieth, Brian Karrer, Yaron Lipman, Ricky T. Q. Chen

ICLR 2025 Generator Matching: Generative Modeling with Arbitrary Markov Processes Peter Holderrieth, Marton Havasi, Jason Yim, Neta Shaul, Itai Gat, Tommi Jaakkola, Brian Karrer, Ricky T. Q. Chen, Yaron Lipman

NeurIPS 2025 Transition Matching: Scalable and Flexible Generative Modeling Neta Shaul, Uriel Singer, Itai Gat, Yaron Lipman

ICML 2024 Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models Neta Shaul, Uriel Singer, Ricky T. Q. Chen, Matthew Le, Ali Thabet, Albert Pumarola, Yaron Lipman

ICLR 2024 Bespoke Solvers for Generative Flow Models Neta Shaul, Juan Perez, Ricky T. Q. Chen, Ali Thabet, Albert Pumarola, Yaron Lipman

NeurIPS 2024 Discrete Flow Matching Itai Gat, Tal Remez, Neta Shaul, Felix Kreuk, Ricky T. Q. Chen, Gabriel Synnaeve, Yossi Adi, Yaron Lipman

ICML 2023 On Kinetic Optimal Probability Paths for Generative Models Neta Shaul, Ricky T. Q. Chen, Maximilian Nickel, Matthew Le, Yaron Lipman