Publications – Miles

Laurent Meunier, Yann Chevaleyre, Jeremy Rapin, Clément Royer, Olivier Teytaud. On Averaging the Best Samples in Evolutionary Computation. Parallel Problem Solving from Nature – PPSN XVI. PPSN 2020, pp.661-674, 2020, ⟨10.1007/978-3-030-58115-2_46⟩. ⟨hal-03135540⟩
Alexandre Araujo, Benjamin Negrevergne, Yann Chevaleyre, Jamal Atif. Understanding and Training Deep Diagonal Circulant Neural Networks. 24th European Conference on Artificial Intelligence (ECAI), Jul 2020, Santiago, Spain. ⟨hal-03916848⟩
Rafael Pinot, Raphael Ettedgui, Geovani Rizk, Yann Chevaleyre, Jamal Atif. Randomization matters – How to defend against strong adversarial attacks. Thirty-seventh International Conference on Machine Learning, Jul 2020, Vienna, Austria. pp.7717-7727. ⟨hal-02892161⟩
Alexandre Araujo, Laurent Meunier, Rafael Pinot, Benjamin Negrevergne. Robust Neural Networks using Randomized Adversarial Training. 2020. ⟨hal-02380184v2⟩
M. Riva, F. Yger, P. Gori, R. Cesar, Isabelle Bloch. Template-Based Graph Clustering. ECML-PKDD, Workshop on Graph Embedding and Mining (GEM), 2020, Ghent, Belgium. ⟨hal-02916167⟩
Nicolas Boria, Benjamin Negrevergne, Florian Yger. Fréchet Mean Computation in Graph Space through Projected Block Gradient Descent. ESANN 2020, 2020, Bruges, France. ⟨hal-02895832⟩
Rafaël Pinot, Anne Morvan, Florian Yger, Cedric Gouy-Pailler, Jamal Atif. Graph-based clustering under differential privacy. Plate-Forme Intelligence Artificielle PFIA, Jul 2019, Toulouse, France. ⟨cea-04558315⟩
Matthieu Clertant, Nataliya Sokolovska, Yann Chevaleyre, Blaise Hanczar. Interpretable Cascade Classifiers with Abstention. 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019), Apr 2019, Naha, Japan. ⟨hal-02006252⟩
Eric Benhamou. Connecting Sharpe ratio and Student t-statistic, and beyond. 2019. ⟨hal-02012448⟩
Eric Benhamou, Jamal Atif, Rida Laraki. A new approach to learning in Dynamic Bayesian Networks (DBNs). 2019. ⟨hal-02011529v2⟩