3 papers
math.ST2026
Two-sample test with Wasserstein distance on Gaussian samples based on a log-normal approximation
Johann Clément-Cottuz, Maxime Bérar, Gilles Gasso
In this article, we propose a two-sample test based on the Wasserstein 2-distance between two 1D samples, where the first sample is assumed to be Gaussian based on an approximation…
cs.LG2026
Does Normalization Choice Matter for Causal Large Time-Series Models?
Samy-Melwan Vilhes, Gilles Gasso, Mokhtar Z Alaya
Large models for time-series forecasting have been emerged as a promising paradigm for training models on heterogeneous collections of signals. These models typically rely on causa…
cs.LG2025
PatchTrAD: A Patch-Based Transformer focusing on Patch-Wise Reconstruction Error for Time Series Anomaly Detection
Samy-Melwan Vilhes, Gilles Gasso, Mokhtar Z Alaya
Time series anomaly detection (TSAD) focuses on identifying whether observations in streaming data deviate significantly from normal patterns. With the prevalence of connected devi…