Defferrard, Michaël

9 publications

ICML 2024 CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay Natasha Butt, Blazej Manczak, Auke Wiggers, Corrado Rainone, David W. Zhang, Michaël Defferrard, Taco Cohen

ICLRW 2024 CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay Natasha Butt, Blazej Manczak, Auke Wiggers, Corrado Rainone, David W. Zhang, Michaël Defferrard, Taco Cohen

AISTATS 2024 DE-HNN: An Effective Neural Model for Circuit Netlist Representation Zhishang Luo, Truong Son Hy, Puoya Tabaghi, Michaël Defferrard, Elahe Rezaei, Ryan M. Carey, Rhett Davis, Rajeev Jain, Yusu Wang

ICMLW 2024 Towards Bridging Classical and Neural Computation Through a Read-Eval-Print Loop David W. Zhang, Michaël Defferrard, Corrado Rainone, Roland Memisevic

ICLRW 2024 Towards Self-Improving Language Models for Code Generation Michaël Defferrard, Corrado Rainone, David W. Zhang, Blazej Manczak, Natasha Butt, Taco Cohen

ICLRW 2022 Deep Sharpening of Topological Features for De Novo Protein Design Zander Harteveld, Joshua Southern, Michaël Defferrard, Andreas Loukas, Pierre Vandergheynst, Micheal Bronstein, Bruno Correia

ICLR 2020 DeepSphere: A Graph-Based Spherical CNN Michaël Defferrard, Martino Milani, Frédérick Gusset, Nathanaël Perraudin

NeurIPSW 2020 Simplicial Neural Networks Stefania Ebli, Michaël Defferrard, Gard Spreemann

NeurIPS 2016 Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst