Antoine BARRIER

PostDoc in Medical Imaging

Grenoble Institut des Neurosciences

Welcome!

I am a French post-doc at Grenoble Institute de Neurosciences (GIN, Grenoble 🇫🇷) since September 2023. I work on RMI image analysis with Thomas Christen in the Functional Neuroimaging and Brain Perfusion team, in collaboration with Florence Forbes from team Statify at INRIA Grenoble. I am also involved in various teaching activities.

Before that I was a PhD candidate working on Optimization Algorithms in Sequential Learning, supervised by Aurélien GARIVIER at UMPA (Lyon 🇫🇷) and Gilles STOLTZ at LMO (Orsay 🇫🇷). I defended my PhD thesis on Thursday 20 July 2023 at ÉNS de Lyon. The manuscript is available here and the slides are here.

Interests

Medical Imaging
Machine Learning
Artificial Intelligence
Statistical Learning
Probabilities

Education

PhD in Mathematics, 2020-2023

Unité de Mathématiques Pures et Appliquées (École Normale Supérieure de Lyon) & Laboratoire de Mathématiques d'Orsay (Université Paris-Saclay)
MSc in Machine Learning, Artificial Intelligence, Statistics, Image Processing (MVA Mathématiques, Vision et Apprentissage), 2019-2020

École Normale Supérieure Paris-Saclay, France
MSc, French Aggregation of Mathematics, 2018-2019

École Normale Supérieure Paris-Saclay, France
BSc in Fundamental Mathematics, 2016-2017

École Normale Supérieure Paris-Saclay, France

Publications

See all publications

Antoine BARRIER, Thomas COUDERT, Aurélien DELPHIN, Benjamin LEMASSON, Thomas CHRISTEN (2024). MARVEL: MR Fingerprinting with Additional micRoVascular Estimates using bidirectional LSTMs. In MICCAI 2024.

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Antoine BARRIER (2023). Contributions to a Theory of Pure Exploration in Sequential Statistics. PhD thesis.

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Antoine BARRIER, Aurélien GARIVIER, Gilles STOLTZ (2023). On Best-Arm Identification with a Fixed Budget in Non-Parametric Multi-Armed Bandits. In ALT 2023.

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