Cédric Allain — accepted AI-conference papers

2023

FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels

Guillaume Staerman, Cédric Allain, Alexandre Gramfort, Thomas Moreau

ICML 2023poster

Temporal point processes (TPP) are a natural tool for modeling event-based data. Among all TPP models, Hawkes processes have proven to be the most widely used, mainly due to their adequate modeling for various applications, particularly when considering exponential or non-parametric kernels. Althoug…

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2022

DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals

Cédric Allain, Alexandre Gramfort, Thomas Moreau

ICLR 2022poster

The quantitative analysis of non-invasive electrophysiology signals from electroencephalography (EEG) and magnetoencephalography (MEG) boils down to the identification of temporal patterns such as evoked responses, transient bursts of neural oscillations but also blinks or heartbeats for data cleani…

Cited by 9 Source ↗PDF ↗Scholar ↗