Lars Holdijk

发表

Path Integral Stochastic Optimal Control for Sampling Transition Paths

M. Welling, B. Ensing, P. Jaini, 2022, ArXiv.

Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks pdf

Thomas Villmann, Sascha Saralajew, Lars Holdijk, 2019, WSOM+.

[Re] Parameterized Explainer for Graph Neural Network

M. Boon, Lars Holdijk, Stijn Henckens, 2021 .

Fast Adversarial Robustness Certification of Nearest Prototype Classifiers for Arbitrary Seminorms

Thomas Villmann, Sascha Saralajew, Lars Holdijk, 2020, NeurIPS.

Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent pdf

Max Welling, Priyank Jaini, Lars Holdijk, 2021, NeurIPS.

Prototype-based Neural Network Layers: Incorporating Vector Quantization pdf

Thomas Villmann, Sascha Saralajew, Lars Holdijk, 2018, ArXiv.

Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components

Thomas Villmann, Sascha Saralajew, Ebubekir Asan, 2019, NeurIPS.

Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths

B. Ensing, P. Jaini, Yuanqi Du, 2022, 2207.02149.

Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths

B. Ensing, P. Jaini, Yuanqi Du, 2022, Neural Information Processing Systems.