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cs.LG2026
DANCE: Detect and Classify Events in EEG
Jarod Lévy, Hubert Banville, Jérémy Rapin +3
Event identification in continuous neural recordings is a critical task in neuroscience. Decoding in EEG is dominated by classifying windows aligned to known event onsets. However,…
cs.LG2026
Geometry-Aware Discretization Error of Diffusion Models
Samuel Hurault, Thomas Moreau, Gabriel Peyré
Practical diffusion sampling is a numerical approximation problem: under a fixed inference budget, one must simulate a reverse-time ODE or SDE using only a limited number of denois…
cs.LG2026
RoseCDL: Robust and Scalable Convolutional Dictionary Learning for Rare event and Anomaly Detection
Jad Yehya, Mansour Benbakoura, Cédric Allain +3
Detecting rare events and anomalies in large-scale signals is essential in fields such as astronomy, physical simulations, and biomedical science. In many cases, this problem natur…