Neta Shaul

According to our database, Neta Shaul authored at least 10 papers between 2023 and 2025.

Collaborative distances:

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

2025

Transition Matching: Scalable and Flexible Generative Modeling.

Neta Shaul, Uriel Singer, Itai Gat, Yaron Lipman

CoRR, June, 2025

Corrector Sampling in Language Models.

Itai Gat, Neta Shaul, Uriel Singer, Yaron Lipman

CoRR, June, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Flow Matching Guide and Code.

Yaron Lipman, Marton Havasi, Peter Holderrieth, Neta Shaul, Matt Le, Brian Karrer, Ricky T. Q. Chen, David Lopez-Paz, Heli Ben-Hamu, Itai Gat

CoRR, 2024

Discrete Flow Matching.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models.

Neta Shaul, Uriel Singer, Ricky T. Q. Chen, Matthew Le, Ali K. Thabet, Albert Pumarola, Yaron Lipman

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Bespoke Solvers for Generative Flow Models.

Neta Shaul, Juan C. Pérez, Ricky T. Q. Chen, Ali K. Thabet, Albert Pumarola, Yaron Lipman

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Guided Flows for Generative Modeling and Decision Making.

Qinqing Zheng, Matt Le, Neta Shaul, Yaron Lipman, Aditya Grover, Ricky T. Q. Chen

CoRR, 2023

On Kinetic Optimal Probability Paths for Generative Models.

Neta Shaul, Ricky T. Q. Chen, Maximilian Nickel, Matthew Le, Yaron Lipman

Proceedings of the International Conference on Machine Learning, 2023