On Kinetic Optimal Probability Paths for Generative Models. - Neta Shaul; Ricky T. Q. Chen; Maximilian Nickel; Matthew Le 001; Yaron Lipman (ICML, 2023)

Guided Flows for Generative Modeling and Decision Making. - Qinqing Zheng; Matt Le 001; Neta Shaul; Yaron Lipman; Aditya Grover; Ricky T. Q. Chen (CoRR, 2023)

Bespoke Solvers for Generative Flow Models. - Neta Shaul; Juan C. Pérez; Ricky T. Q. Chen; Ali K. Thabet; Albert Pumarola; Yaron Lipman (ICLR, 2024)

Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models. - Neta Shaul; Uriel Singer; Ricky T. Q. Chen; Matthew Le 001; Ali K. Thabet; Albert Pumarola; Yaron Lipman (ICML, 2024)

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

Flow Matching Guide and Code. - Yaron Lipman; Marton Havasi; Peter Holderrieth; Neta Shaul; Matt Le 001; Brian Karrer; Ricky T. Q. Chen; David Lopez-Paz; Heli Ben-Hamu; Itai Gat (CoRR, 2024)

Generator Matching: Generative modeling with arbitrary Markov processes. - Peter Holderrieth; Marton Havasi; Jason Yim; Neta Shaul; Itai Gat; Tommi S. Jaakkola; Brian Karrer; Ricky T. Q. Chen; Yaron Lipman (ICLR, 2025)

Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective. - Neta Shaul; Itai Gat; Marton Havasi; Daniel Severo 001; Anuroop Sriram; Peter Holderrieth; Brian Karrer; Yaron Lipman; Ricky T. Q. Chen (ICLR, 2025)

Corrector Sampling in Language Models. - Itai Gat; Neta Shaul; Uriel Singer; Yaron Lipman (CoRR, 2025)

Transition Matching: Scalable and Flexible Generative Modeling. - Neta Shaul; Uriel Singer; Itai Gat; Yaron Lipman (CoRR, 2025)