Peter Holderrieth

According to our database, Peter Holderrieth authored at least 12 papers between 2020 and 2026.

Collaborative distances:

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

2026

Diamond Maps: Efficient Reward Alignment via Stochastic Flow Maps.

Peter Holderrieth, Douglas Chen, Luca Eyring, Ishin Shah, Giri Anantharaman, Yutong He, Zeynep Akata, Tommi S. Jaakkola, Nicholas Matthew Boffi, Max Simchowitz

CoRR, February, 2026

FragmentFlow: Scalable Transition State Generation for Large Molecules.

Ron Shprints, Peter Holderrieth, Juno Nam, Rafael Gómez-Bombarelli, Tommi S. Jaakkola

CoRR, February, 2026

2025

GLASS Flows: Transition Sampling for Alignment of Flow and Diffusion Models.

Peter Holderrieth, Uriel Singer, Tommi S. Jaakkola, Ricky T. Q. Chen, Yaron Lipman, Brian Karrer

CoRR, September, 2025

Continuously Tempered Diffusion Samplers.

Ezra Erives, Bowen Jing, Peter Holderrieth, Tommi S. Jaakkola

CoRR, September, 2025

An Introduction to Flow Matching and Diffusion Models.

Peter Holderrieth, Ezra Erives

CoRR, June, 2025

LEAPS: A discrete neural sampler via locally equivariant networks.

Peter Holderrieth, Michael Samuel Albergo, Tommi S. Jaakkola

Proceedings of the Forty-second International Conference on Machine Learning, 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

Hamiltonian Score Matching and Generative Flows.

Peter Holderrieth, Yilun Xu, Tommi S. Jaakkola

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

2021

Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes.

Peter Holderrieth, Michael J. Hutchinson, Yee Whye Teh

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

2020

Equivariant Conditional Neural Processes.

Peter Holderrieth, Michael J. Hutchinson, Yee Whye Teh

CoRR, 2020