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…
math.ST2025
Regularized Learning for Fractional Brownian Motion via Path Signatures
Ali Mohaddes, Francesco Iafrate, Johannes Lederer
Fractional Brownian motion (fBm) extends classical Brownian motion by introducing dependence between increments, governed by the Hurst parameter . Unlike traditional Br…
cs.LG2025
Affine Invariance in Continuous-Domain Convolutional Neural Networks
Ali Mohaddes, Johannes Lederer
The notion of group invariance helps neural networks in recognizing patterns and features under geometric transformations. Group convolutional neural networks enhance traditional c…