Peter Potaptchik

According to our database, Peter Potaptchik authored at least 11 papers between 2024 and 2026.

Collaborative distances:

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

2026

Discrete Tilt Matching.

Yuyuan Chen, Shiyi Wang, Peter Potaptchik, Jaeyeon Kim, Michael S. Albergo

CoRR, April, 2026

Discrete Flow Maps.

Peter Potaptchik, Jason Yim, Adhi Saravanan, Peter Holderrieth, Eric Vanden-Eijnden, Michael S. Albergo

CoRR, April, 2026

Meta Flow Maps enable scalable reward alignment.

Peter Potaptchik, Adhi Saravanan, Abbas Mammadov, Alvaro Prat, Michael S. Albergo, Yee Whye Teh

CoRR, January, 2026

2025

Tilt Matching for Scalable Sampling and Fine-Tuning.

Peter Potaptchik, Cheuk Kit Lee, Michael S. Albergo

CoRR, December, 2025

CREPE: Controlling Diffusion with Replica Exchange.

Jiajun He, Paul Jeha, Peter Potaptchik, Leo Zhang, José Miguel Hernández-Lobato, Yuanqi Du, Saifuddin Syed, Francisco Vargas

CoRR, September, 2025

Adaptive Diffusion Guidance via Stochastic Optimal Control.

Iskander Azangulov, Peter Potaptchik, Qinyu Li, Eddie Aamari, George Deligiannidis, Judith Rousseau

CoRR, May, 2025

Generalised Parallel Tempering: Flexible Replica Exchange via Flows and Diffusions.

Leo Zhang, Peter Potaptchik, Arnaud Doucet, Hai-Dang Dau, Saifuddin Syed

CoRR, February, 2025

Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres.

Samuel Howard, Peter Potaptchik, George Deligiannidis

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive.

Tyler Farghly, Peter Potaptchik, Samuel Howard, George Deligiannidis, Jakiw Pidstrigach

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Linear Convergence of Diffusion Models Under the Manifold Hypothesis.

Peter Potaptchik, Iskander Azangulov, George Deligiannidis

Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

2024

Metric Flow Matching for Smooth Interpolations on the Data Manifold.

Kacper Kapusniak, Peter Potaptchik, Teodora Reu, Leo Zhang, Alexander Tong, Michael M. Bronstein, Avishek Joey Bose, Francesco Di Giovanni

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024