Trading Desk Behavior Modeling via LSTM for Rogue Trading Fraud Detection. - Marine Neyret; Jaouad Ouaggag; Cédric Allain (DATA, 2020)

DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals. - Cédric Allain; Alexandre Gramfort; Thomas Moreau 001; A. Preprint (CoRR, 2021)

DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals. - Cédric Allain; Alexandre Gramfort; Thomas Moreau 001 (ICLR, 2022)

FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels. - Guillaume Staerman; Cédric Allain; Alexandre Gramfort; Thomas Moreau 001 (ICML, 2023)

Using convolutional dictionary learning to detect task-related neuromagnetic transients and ageing trends in a large open-access dataset. - Lindsey Power; Cédric Allain; Thomas Moreau 001; Alexandre Gramfort; Timothy Bardouille (NeuroImage, 2023)

Temporal point processes and scalable convolutional dictionary learning : a unified framework for m/eeg signal analysis in neuroscience. (Processus ponctuels temporels et apprentissage scalable de dictionnaires convolutionnels : un cadre unifié pour l'analyse des signaux m/eeg en neurosciences). - Cédric Allain (2024)