Yaiza Bermudez | INRIA | Publications

Research Reports

• ‘‘Machine Unlearning for Gibbs Supervised Learning Algorithms", with Samir Perlaza and Iñaki Esnaola.
  Research Report, INRIA, No. RR-9610, Sophia Antipolis, France, Jan., 2026.

• ‘‘Decentralized Machine Learning with Centralized Performance Guarantees via Gibbs Algorithms", with Samir Perlaza and Iñaki Esnaola.
  Research Report, INRIA, No. RR-9608, Sophia Antipolis, France, Jan., 2026.

• ‘‘On optimal transport with f-divergence regularization", with Maxime Nicaise and Samir Perlaza.
  Research Report, INRIA, No. RR-9607, Sophia Antipolis, France, Jan., 2026.

• “Statistical Federated Learning and Generalization”, with Samir Perlaza, Iñaki Esnaola and H. Vincent Poor.
  Research Report, INRIA, No. RR-9599, Sophia Antipolis, France, Oct., 2025.

• “Proofs for Folklore Theorems on the Radon-Nikodym Derivative”, with Gaetan Bisson, Iñaki Esnaola and Samir Perlaza.
  Research Report, INRIA, No. RR-9591, Sophia Antipolis, France, July, 2025.

Conference Papers

• “Démonstrations des théorèmes folkloriques sur la dérivée de Radon-Nikodym”, with Gaetan Bisson, Iñaki Esnaola and Samir Perlaza.
  In Proc. of the XXXe Colloque Francophone de Traitement du Signal et des Images (GRETSI), Strasbourg, France, August, 2025.

• “Incremental learning for load forecasting in energy networks and buildings”, with Mathieu Vallée, Mohammed Ali Jallal and Marina Reyboz.
  In Proc. of the 38th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS), Paris, France, June, 2025.

• “Lightweight hybrid local PV short term forecasting using both physics and data”, with Benoit Delinchant, Vincent Imard, and Frédéric Wurtz.
  In Proc. of the 15th Asia-Pacific Power and Energy Engineering Conference (APPEEC),Chiang Mai, Thailand, Dec., 2023.