Articles

Cvetkov-Iliev A., Allauzen A., Varoquaux G. (2023), Relational Data Embeddings for Feature Enrichment with Background Information, Machine Learning, vol. 112, p. 687-720

Bucci M., Semeraro O., Allauzen A., Wisniewski G., Cordier L., Mathelin L. (2019), Control of chaotic systems by deep reinforcement learning, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 475, n°2231, p. 20190351

Costa-jussà M., Allauzen A., Barrault L., Cho K., Schwenk H. (2017), Introduction to the special issue on deep learning approaches for machine translation, Computer Speech & Language, vol. 46, p. 367-373

Communications sans actes

Evain S., Nguyen M., Le H., Zanon Boito M., Mdhaffar S., Alisamir S., Tong Z., Tomashenko N., Dinarelli ., Parcollet T., Allauzen A. (2021), Task Agnostic and Task Specific Self-Supervised Learning from Speech with LeBenchmark, Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), États-Unis

Evain S., Nguyen H., Le H., Zanon Boito M., Mdhaffar S., Alisamir S., Tong ., Tomashenko N., Dinarelli M., Parcollet T., Allauzen A. (2021), LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech, NTERSPEECH 2021: Conference of the International Speech Communication Association, Brno, Tchèque, rÉpublique

Prépublications / Cahiers de recherche

Bucci M., Semeraro O., Allauzen A., Chibbaro S., Mathelin L. (2021), Leveraging the structure of dynamical systems for data-driven modeling, Paris, Preprint Lamsade