Holderrieth, Peter

8 publications

ICLR 2026 GLASS Flows: Efficient Inference for Reward Alignment of Flow and Diffusion Models Peter Holderrieth, Uriel Singer, Tommi Jaakkola, Ricky T. Q. Chen, Yaron Lipman, Brian Karrer

ICLRW 2025 Continuously Tempered Diffusion Samplers Ezra Erives, Bowen Jing, Peter Holderrieth, Tommi Jaakkola

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

ICML 2025 LEAPS: A Discrete Neural Sampler via Locally Equivariant Networks Peter Holderrieth, Michael Samuel Albergo, Tommi Jaakkola

ICLRW 2025 LEAPS: A Discrete Neural Sampler via Locally Equivariant Networks Peter Holderrieth, Michael Samuel Albergo, Tommi Jaakkola

NeurIPS 2024 Hamiltonian Score Matching and Generative Flows Peter Holderrieth, Yilun Xu, Tommi Jaakkola

ICML 2021 Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes Peter Holderrieth, Michael J Hutchinson, Yee Whye Teh