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20172025
most citedAn Overview of Deep Semi-Supervised Learning

244 citations

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math.ST2025

Deep learning of point processes for modeling high-frequency data

Yoshihiro Gyotoku, Ioane Muni Toke, Nakahiro Yoshida

We investigate applications of deep neural networks to a point process having an intensity with mixing covariates processes as input. Our generic model includes Cox-type models and…

math.ST2021

Neuronal Network Inference and Membrane Potential Model using Multivariate Hawkes Processes

Anna Bonnet, Charlotte Dion, François Gindraud +1

In this work, we propose to catch the complexity of the membrane potential's dynamic of a motoneuron between its spikes, taking into account the spikes from other neurons around. O…