Simulation of Scientific Experiments with Generative Models. - Stepan Veretennikov; Koen Minartz; Vlado Menkovski; Burcu Gumuscu; Jan de Boer (IDA, 2022)

Towards Learned Simulators for Cell Migration. - Koen Minartz; Yoeri Poels; Vlado Menkovski (CoRR, 2022)

Multivariate correlations discovery in static and streaming data. - Koen Minartz; Jens E. d'Hondt; Odysseas Papapetrou (Proc. VLDB Endow., 2022)

Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics. - Koen Minartz; Yoeri Poels; Simon M. Koop; Vlado Menkovski (NeurIPS, 2023)

Fast Dynamic 1D Simulation of Divertor Plasmas with Neural PDE Surrogates. - Yoeri Poels; Gijs Derks; Egbert Westerhof; Koen Minartz; Sven Wiesen; Vlado Menkovski (CoRR, 2023)

Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scale. - Pol Timmer; Koen Minartz; Vlado Menkovski (CoRR, 2024)

Accelerating Simulation of Two-Phase Flows with Neural PDE Surrogates. - Yoeri Poels; Koen Minartz; Harshit Bansal; Vlado Menkovski (CoRR, 2024)

Understanding complex crowd dynamics with generative neural simulators. - Koen Minartz; Fleur Hendriks; Simon Martinus Koop; Alessandro Corbetta; Vlado Menkovski (CoRR, 2024)

Efficient detection of multivariate correlations with different correlation measures. - Jens E. d'Hondt; Koen Minartz; Odysseas Papapetrou (VLDB J., 2024)

Deep Neural Cellular Potts Models. - Koen Minartz; Tim D'Hondt; Leon Hillmann; Jörn Starruß; Lutz Brusch; Vlado Menkovski (CoRR, 2025)

Flow Matching for Geometric Trajectory Simulation. - Kiet Bennema ten Brinke; Koen Minartz; Vlado Menkovski (CoRR, 2025)