Research

This is list is rarely maintained, for an up-to-date list check my scholar profile.

Conference papers

H. Janati, B. Muzellec, G. Peyré and M. Cuturi. Entropic Optimal Transport between (Unbalanced) Gaussian Measures has a Closed Form (Neurips, 2020). (paper) | (Python code)
H. Janati, M. Cuturi and A. Gramfort. Debiased Sinkhorn barycenters (ICML 2020) (paper) | (Python code)
H. Janati, M. Cuturi and A. Gramfort. Spatio-Temporal Alignments: Optimal transport through space and time. (AISTATS, 2020) (paper) | (Python code)
H. Janati, T. Bazeille, B. Thirion, M. Cuturi and A. Gramfort. Group-level EEG / MEG source imaging via Optimal Transport: minimum Wasserstein estimates. IPMI 2019. (paper) | (Python code)
T. Bazeille, H. Richard, H. Janati, B. Thirion, Local Optimal Transport for Functional Brain Template Estimation. IPMI 2019
H. Janati, M. Cuturi and A. Gramfort. Wasserstein regularization for sparse multitask regression. AISTATS 2019. (paper) | (Python code)

J. Faouzi, H. Janati. pyts: A Python package for time series classification. Journal of Machine Learning Research (2020) (paper) | (Python code)
H. Janati, T. Bazeille, B. Thirion, M. Cuturi and A. Gramfort. Multi-subject MEG/EEG source imaging with sparse multi-task regression (NeuroImage, 2019) (paper)

H. Janati, Investigating cancer resistance in a Glioblastoma cell line with gene expression data. Statistics [stat]. 2016. [Best (paper) award - ENSAE 2015/2016] (paper)