Learning Physics from Data: A Thermodynamic Interpretation. - Francisco Chinesta; Elías Cueto; Miroslav Grmela; Beatriz Moya; Michal Pavelka; Martin Sípka (SPIGL, 2020)

Differentiable Simulations for Enhanced Sampling of Rare Events. - Martin Sípka; Johannes C. B. Dietschreit; Lukás Grajciar; Rafael Gómez-Bombarelli (ICML, 2023)

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional. - Sanjeev Raja; Martin Sípka; Michael Psenka; Tobias Kreiman; Michal Pavelka; Aditi S. Krishnapriyan (CoRR, 2025)