88 documents
- 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. A few properties of sample variance. 2019. ⟨hal-02012458⟩
- Eric Benhamou. Kalman filter demystified: from intuition to probabilistic graphical model to real case in financial markets. 2019. ⟨hal-02012471⟩
- David Saltiel, Eric Benhamou. Feature selection with optimal coordinate ascent (OCA). 2019. ⟨hal-02012473⟩
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