Lars Holdijk

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 9

Top Topics

Mellin Transform

Vector Quantization

Probabilistic Modeling

Sampling Strategy

Top Venues

Publications

Lars Holdijk, Yuanqi Du, Ferry Hooft, Priyank Jaini, Bernd Ensing, Max Welling
Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths. NeurIPS (2023)
Lars Holdijk, Yuanqi Du, Ferry Hooft, Priyank Jaini, Bernd Ensing, Max Welling
Path Integral Stochastic Optimal Control for Sampling Transition Paths. CoRR (2022)
Priyank Jaini, Lars Holdijk, Max Welling
Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent. NeurIPS (2021)
Priyank Jaini, Lars Holdijk, Max Welling
Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent. CoRR (2021)
Sascha Saralajew, Lars Holdijk, Thomas Villmann
Fast Adversarial Robustness Certification of Nearest Prototype Classifiers for Arbitrary Seminorms. NeurIPS (2020)
Sascha Saralajew, Lars Holdijk, Maike Rees, Ebubekir Asan, Thomas Villmann
Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components. NeurIPS (2019)
Sascha Saralajew, Lars Holdijk, Maike Rees, Thomas Villmann
Robustness of Generalized Learning Vector Quantization Models Against Adversarial Attacks. WSOM+ (2019)
Sascha Saralajew, Lars Holdijk, Maike Rees, Thomas Villmann
Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks. CoRR (2019)
Sascha Saralajew, Lars Holdijk, Maike Rees, Thomas Villmann
Prototype-based Neural Network Layers: Incorporating Vector Quantization. CoRR (2018)