collaborators

5 papers

stat.ML2025

Momentum Multi-Marginal Schrödinger Bridge Matching

Panagiotis Theodoropoulos, Augustinos D. Saravanos, Evangelos A. Theodorou +1

Understanding complex systems by inferring trajectories from sparse sample snapshots is a fundamental challenge in a wide range of domains, e.g., single-cell biology, meteorology,…

cs.LG2025

Optimal Control Theoretic Neural Optimizer: From Backpropagation to Dynamic Programming

Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou

Optimization of deep neural networks (DNNs) has been a driving force in the advancement of modern machine learning and artificial intelligence. With DNNs characterized by a prolong…

stat.ML2025

Feedback Schrödinger Bridge Matching

Panagiotis Theodoropoulos, Nikolaos Komianos, Vincent Pacelli +2

Recent advancements in diffusion bridges for distribution transport problems have heavily relied on matching frameworks, yet existing methods often face a trade-off between scalabi…

stat.ML2024

Deep Generalized Schrödinger Bridges: From Image Generation to Solving Mean-Field Games

Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou

Generalized Schrödinger Bridges (GSBs) are a fundamental mathematical framework used to analyze the most likely particle evolution based on the principle of least action including…

physics.chem-ph2024

React-OT: Optimal Transport for Generating Transition State in Chemical Reactions

Chenru Duan, Guan-Horng Liu, Yuanqi Du +6

Transition states (TSs) are transient structures that are key in understanding reaction mechanisms and designing catalysts but challenging to be captured in experiments. Alternativ…