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Benoît Malézieux

3 accepted papers

2023

Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals

ICML 2023poster

When dealing with electro or magnetoencephalography records, many supervised prediction tasks are solved by working with covariance matrices to summarize the signals. Learning with these matrices requires the usage of Riemanian geometry to account for their structure. In this paper, we propose a new…

Cited by 27SourcePDFScholar
2022

Benchopt: Reproducible, efficient and collaborative optimization benchmarks

NeurIPS 2022accept

Numerical validation is at the core of machine learning research as it allows us to assess the actual impact of new methods, and to confirm the agreement between theory and practice. Yet, the rapid development of the field poses several challenges: researchers are confronted with a profusion of meth…

2022

Understanding approximate and unrolled dictionary learning for pattern recovery

ICLR 2022poster

Dictionary learning consists of finding a sparse representation from noisy data and is a common way to encode data-driven prior knowledge on signals. Alternating minimization (AM) is standard for the underlying optimization, where gradient descent steps alternate with sparse coding procedures. The m…