Malherbe, Cedric

11 publications

NeurIPSW 2024 Exploring Log-Likelihood Scores for Ranking Antibody Sequence Designs Talip Ucar, Cedric Malherbe, Ferran Gonzalez

NeurIPSW 2024 IgBlend: Unifying 3D Structure and Sequence for Antibody LLMs Cedric Malherbe, Talip Ucar

NeurIPSW 2024 IgBlend: Unifying 3D Structure and Sequence for Antibody LLMs Cedric Malherbe, Talip Ucar

ICML 2024 Measures of Diversity and Space-Filling Designs for Categorical Data Cedric Malherbe, Emilio Domı́nguez-Sánchez, Merwan Barlier, Igor Colin, Haitham Bou Ammar, Tom Diethe

ICML 2022 Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness Kevin Scaman, Cedric Malherbe, Ludovic Dos Santos

NeurIPSW 2022 Meta-Learning of Black-Box Solvers Using Deep Reinforcement Learning Sofian Chaybouti, Ludovic Dos Santos, Cedric Malherbe, Aladin Virmaux

NeurIPS 2022 Optimistic Tree Searches for Combinatorial Black-Box Optimization Cedric Malherbe, Antoine Grosnit, Rasul Tutunov, Haitham Bou Ammar, Jun Wang

ICML 2022 Robustness in Multi-Objective Submodular Optimization: A Quantile Approach Cedric Malherbe, Kevin Scaman

NeurIPS 2020 Robustness Analysis of Non-Convex Stochastic Gradient Descent Using Biased Expectations Kevin Scaman, Cedric Malherbe

ICML 2017 Global Optimization of Lipschitz Functions Cédric Malherbe, Nicolas Vayatis

ICML 2016 A Ranking Approach to Global Optimization Cedric Malherbe, Emile Contal, Nicolas Vayatis