1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels
Guillaume Staerman, Cédric Allain, Alexandre Gramfort +1
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…
DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals
Cédric Allain, Alexandre Gramfort, Thomas Moreau
The quantitative analysis of non-invasive electrophysiology signals from electroencephalography (EEG) and magnetoencephalography (MEG) boils down to the identification of temporal…