3 papers
stat.ML2026
Diffusion-based Denoising Beats Vanilla Score Matching in Parameter Estimation: A Theoretical Explanation
Benedikt Lütke Schwienhorst, Benedikt Lütke Schwienhorst, Nadja Klein +1
Score matching is an alternative to maximum likelihood estimation when the normalizing constant is unknown or too costly to evaluate. However, vanilla score matching has shown to b…
cs.LG2026
Point Cloud Sequence Encoding for Material-conditioned Graph Network Simulators
Philipp Dahlinger, Balázs Gyenes, Niklas Freymuth +6
Graph Network Simulators (GNSs) have emerged as powerful surrogates for complex physics-based simulation, offering inherent differentiability and orders-of-magnitude speedups over…
stat.ME2026
Scalable and Robust Spatial Prediction via Multi-Resolution Ensembles of Predictive Processes
Nicolas Bianco, Nadja Klein
Gaussian processes provide a flexible framework for spatial prediction, but their computational cost limits applicability to large-scale data with large sample size . Predictive…