Conferences and Archival Workshops
[2022] L. Holdijk*, Y. Du*, F. Hooft, P. Jaini, B. Ensing, M. Welling, Path Integral Stochastic Optimal Control for Sampling Transition Paths
[2021] P. Jaini*, L. Holdijk*, M. Welling, Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent. Advances in Neural Information Processing Systems (NeurIPS'21)
[2020] S. Saralajew*, L. Holdijk*, T. Villmann. Fast Adversarial Robustness Certification of Nearest Prototype Classifiers for Arbitrary Seminorms. Advances in Neural Information Processing Systems (NeurIPS'20).
[2019] S. Saralajew*, L. Holdijk*, E. Asan, M. Rees, T. Villmann*. Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components. Advances in Neural Information Processing Systems (NeurIPS'19).
[2019] S. Saralajew, L. Holdijk, M. Rees, T. Villmann. Robustness of Generalized Learning Vector Quantization Against Adversarial Attacks. International Workshop on Self-Organizing Maps.
(*: denotes equal contribution)