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Cédric Allain
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2020 – today
- 2024
- [b1]Cédric Allain:
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). University of Paris-Saclay, France, 2024 - 2023
- [j1]Lindsey Power
, Cédric Allain, Thomas Moreau
, Alexandre Gramfort, Timothy Bardouille:
Using convolutional dictionary learning to detect task-related neuromagnetic transients and ageing trends in a large open-access dataset. NeuroImage 267: 119809 (2023) - [c3]Guillaume Staerman, Cédric Allain, Alexandre Gramfort, Thomas Moreau:
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels. ICML 2023: 32575-32597 - 2022
- [c2]Cédric Allain, Alexandre Gramfort, Thomas Moreau:
DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals. ICLR 2022 - [i2]Guillaume Staerman, Cédric Allain, Alexandre Gramfort, Thomas Moreau:
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels. CoRR abs/2210.04635 (2022) - 2021
- [i1]Cédric Allain, Alexandre Gramfort, Thomas Moreau, A. Preprint:
DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals. CoRR abs/2112.06652 (2021) - 2020
- [c1]Marine Neyret, Jaouad Ouaggag, Cédric Allain:
Trading Desk Behavior Modeling via LSTM for Rogue Trading Fraud Detection. DATA 2020: 143-150
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last updated on 2024-08-05 20:12 CEST by the dblp team
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