Peter Potaptchik

11 papers A* 2Journal 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Meta Flow Maps enable scalable reward alignment.
CoRR
Peter Potaptchik, Adhi Saravanan, Abbas Mammadov, Alvaro Prat, Michael S. Albergo, Yee Whye Teh
2025 J jnl
Adaptive Diffusion Guidance via Stochastic Optimal Control.
CoRR
Iskander Azangulov, Peter Potaptchik, Qinyu Li, Eddie Aamari, George Deligiannidis, Judith Rousseau
2025 J jnl
CREPE: Controlling Diffusion with Replica Exchange.
CoRR
Jiajun He, Paul Jeha, Peter Potaptchik, Leo Zhang, José Miguel Hernández-Lobato, Yuanqi Du, Saifuddin Syed, Francisco Vargas
2025 J jnl
Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive.
CoRR
Tyler Farghly, Peter Potaptchik, Samuel Howard, George Deligiannidis, Jakiw Pidstrigach
2025 J jnl
Generalised Parallel Tempering: Flexible Replica Exchange via Flows and Diffusions.
CoRR
Leo Zhang, Peter Potaptchik, Arnaud Doucet, Hai-Dang Dau, Saifuddin Syed
2025 A* conf
Linear Convergence of Diffusion Models Under the Manifold Hypothesis.
COLT
Peter Potaptchik, Iskander Azangulov, George Deligiannidis
2025 J jnl
Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres.
CoRR
Samuel Howard, Peter Potaptchik, George Deligiannidis
2025 J jnl
Tilt Matching for Scalable Sampling and Fine-Tuning.
CoRR
Peter Potaptchik, Cheuk Kit Lee, Michael S. Albergo
2024 J jnl
Linear Convergence of Diffusion Models Under the Manifold Hypothesis.
CoRR
Peter Potaptchik, Iskander Azangulov, George Deligiannidis
2024 A* conf
Metric Flow Matching for Smooth Interpolations on the Data Manifold.
NeurIPS
Kacper Kapusniak, Peter Potaptchik, Teodora Reu, Leo Zhang, Alexander Tong, Michael M. Bronstein, Avishek Joey Bose, Francesco Di Giovanni
2024 J jnl
Metric Flow Matching for Smooth Interpolations on the Data Manifold.
CoRR
Kacper Kapusniak, Peter Potaptchik, Teodora Reu, Leo Zhang, Alexander Tong, Michael M. Bronstein, Avishek Joey Bose, Francesco Di Giovanni