Sotabase

Career

· Visiting Researcher, Meta2022–2023
· Research Assistant, McGill University2018–2018
· Research Intern In Computer Vision And Deep Learning, Polytechnique Montréal2017–2017
· Business Intelligence Analyst, ShopWings2016–2016
· Financial Auditor Junior, EY2015–2016
· Manual Worker, AEVA2014–2014
· Internal Vice-President, Centrale Lille Projets2014–2015
· Project Manager, Centrale Lille Projets2013–2015
· Master of Engineering - MEng, Machine learning, Ecole centrale de Lille2013–2017

Publications (14)

AxonDeepSeg: automatic axon and myelin segmentation from microscopy data using convolutional neural networks
Scientific Reports · 2017
145
cited
Machine Learning and Multiparametric Brain MRI to Differentiate Hereditary Diffuse Leukodystrophy with Spheroids from Multiple Sclerosis
Journal of Neuroimaging · 2020
19
cited
Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks
International Joint Conference on Artificial Intelligence · 2020
14
cited
Piecewise Linear Parametrization of Policies: Towards Interpretable Deep Reinforcement Learning
International Conference on Learning Representations · 2024
4
cited
Piecewise Linear Parametrization of Policies for Interpretable Deep Reinforcement Learning
Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation
arXiv.org · 2025
Sampling diverse neural networks for exploration in reinforcement learning
2018
Sotabase
Maxime Wabartha | Researcher Profile | Sotabase | Sotabase