Importance mixing: Improving sample reuse in evolutionary policy search methods. - Aloïs Pourchot; Nicolas Perrin 001; Olivier Sigaud (CoRR, 2018)

CEM-RL: Combining evolutionary and gradient-based methods for policy search. - Aloïs Pourchot; Olivier Sigaud (ICLR (Poster), 2019)

To Share or Not To Share: A Comprehensive Appraisal of Weight-Sharing. - Aloïs Pourchot; Alexis Ducarouge; Olivier Sigaud (CoRR, 2020)

Neural Architecture Search for Fracture Classification. - Aloïs Pourchot; Kévin Bailly; Alexis Ducarouge; Olivier Sigaud (ICIP, 2022)

An extensive appraisal of weight-sharing on the NAS-Bench-101 benchmark. - Aloïs Pourchot; Kévin Bailly; Alexis Ducarouge; Olivier Sigaud (Neurocomputing, 2022)

Improving Radiographic Diagnosis with Deep Learning in Clinical Settings. (Amélioration du diagnostic radiographique en milieu clinique à l'aide de l'apprentissage profond). - Aloïs Pourchot (2022)