Holdijk, Lars

9 publications

ICLR 2026 Learning Escorted Protocols for Multistate Free-Energy Estimation Lars Holdijk, Nithishwer Mouroug Anand, Michael M. Bronstein, Max Welling

ICLRW 2025 Scaling Deep Learning Solutions for Transition Path Sampling Jungyoon Lee, Michael Plainer, Yuanqi Du, Lars Holdijk, Rob Brekelmans, Dominique Beaini, Kirill Neklyudov

ICLRW 2025 Scaling Deep Learning Solutions for Transition Path Sampling Jungyoon Lee, Michael Plainer, Yuanqi Du, Lars Holdijk, Rob Brekelmans, Carla P Gomes, Dominique Beaini, Kirill Neklyudov

NeurIPSW 2024 Learning Protocols for Non-Equilibrium Conformational Free-Energy Estimation Using Optimal Transport and Conditional Flow Matching Lars Holdijk, Michael M. Bronstein, Max Welling

NeurIPS 2023 Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths Lars Holdijk, Yuanqi Du, Ferry Hooft, Priyank Jaini, Berend Ensing, Max Welling

ICMLW 2022 Path Integral Stochastic Optimal Control for Sampling Transition Paths Lars Holdijk, Yuanqi Du, Priyank Jaini, Ferry Hooft, Bernd Ensing, Max Welling

NeurIPS 2021 Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent Priyank Jaini, Lars Holdijk, Max Welling

NeurIPS 2020 Fast Adversarial Robustness Certification of Nearest Prototype Classifiers for Arbitrary Seminorms Sascha Saralajew, Lars Holdijk, Thomas Villmann

NeurIPS 2019 Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components Sascha Saralajew, Lars Holdijk, Maike Rees, Ebubekir Asan, Thomas Villmann