Lemaire, Vincent

9 publications

TMLR 2025 An Analysis of the Noise Schedule for Score-Based Generative Models Stanislas Strasman, Antonio Ocello, Claire Boyer, Sylvain Le Corff, Vincent Lemaire

TMLR 2025 Early Classification of Time Series: A Survey and Benchmark Aurélien Renault, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire

NeurIPS 2025 Wasserstein Convergence of Critically Damped Langevin Diffusions Stanislas Strasman, Sobihan Surendran, Claire Boyer, Sylvain Le Corff, Vincent Lemaire, Antonio Ocello

MLJ 2024 Evidential Uncertainty Sampling Strategies for Active Learning Arthur Hoarau, Vincent Lemaire, Yolande Le Gall, Jean-Christophe Dubois, Arnaud Martin

TMLR 2024 Mislabeled Examples Detection Viewed as Probing Machine Learning Models: Concepts, Survey and Extensive Benchmark Thomas George, Pierre Nodet, Alexis Bondu, Vincent Lemaire

ECML-PKDD 2023 An Interactive Interface for Novel Class Discovery in Tabular Data Colin Troisemaine, Joachim Flocon-Cholet, Stéphane Gosselin, Alexandre Reiffers-Masson, Sandrine Vaton, Vincent Lemaire

MLJ 2023 Biquality Learning: A Framework to Design Algorithms Dealing with Closed-Set Distribution Shifts Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols

ACML 2019 FEARS: A Feature and Representation Selection Approach for Time Series Classification Alexis Bondu, Dominique Gay, Vincent Lemaire, Marc Boullé, Eole Cervenka

MLJ 2015 Optimised Probabilistic Active Learning (OPAL) - For Fast, Non-Myopic, Cost-Sensitive Active Classification Georg Krempl, Daniel Kottke, Vincent Lemaire