Associate professor @ INSEA & Télécom Paris. Doing: Machine learning & Optimal transport
pyldpc. Creation of LDPC codes & simulation of coding and decoding binary data. Applications to sound and image files.
143spatio-temporal-alignements. Spatio-temporal alignements: Optimal transport in space and time
50srf. Random Fourier Features
50mutar. Multi-task regression in Python
25debiased-ot-barycenters. Python
24Entropic-OT-gaussians. Closed form Entropic OT for balanced and unbalanced Gaussians
17mtw. Wasserstein regularization for sparse multi-task regression
15groupmne. Multi-subject MEG and EEG source localization with MNE
10EM-Spark. Gaussian mixture models EM algorithm written with pySpark.
4PHD-filter. Implementation of the multi-target tracker filter of (Vo et al., 2005).
3Cam-CAN-preprocessing. Preprocessing of Cam-CAN's MEG/EEG data
2neuroimage-multi-subject-2020. Multi-subject M-EEG source imaging with Python
2mwe. Minimum Wasserstein Estimates - IPMI 2019
2Introduction-to-scikit-learn. Introduction to scikit-learn: classification of facial expressions using AMFED dataset by (Daniel McDuff et al., 2013).
2lasso_numba. Lasso - numba vs cython
2meg. source localisation of MEG signal
1soft-dtw. Python implementation of soft-DTW.
1eeg. generates eeg data
1unbalanced-ot. Unbalanced Wasserstein distance introduced by Chizat et al., 2015
1Sinkhorn-Barycenters. Sinkhorn Barycenters via Frank-Wolfe algorithm
1hichamjanati.github.io. Personal webpage.
1Project-NLP-2025. Intro to ML / NLP with spam detection dataset
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