Michaël Defferrard

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 22

Top Topics

Convolutional Neural Network

Spectral Analysis

Top Venues

Astron. Comput.

Publications

Sahil Manchanda, Dana Kianfar, Markus Peschl, Romain Lepert, Michaël Defferrard
NeuroSteiner: A Graph Transformer for Wirelength Estimation. CoRR (2024)
Zhishang Luo, Truong Son Hy, Puoya Tabaghi, Donghyeon Koh, Michaël Defferrard, Elahe Rezaei, Ryan Carey, W. Rhett Davis, Rajeev Jain, Yusu Wang
DE-HNN: An effective neural model for Circuit Netlist representation. CoRR (2024)
Natasha Butt, Blazej Manczak, Auke Wiggers, Corrado Rainone, David W. Zhang, Michaël Defferrard, Taco Cohen
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay. CoRR (2024)
Zhishang Luo, Truong Son Hy, Puoya Tabaghi, Michaël Defferrard, Elahe Rezaei, Ryan Carey, W. Rhett Davis, Rajeev Jain, Yusu Wang
DE-HNN: An effective neural model for Circuit Netlist representation. AISTATS (2024)
Andreas Scheck, Stéphane Rosset, Michaël Defferrard, Andreas Loukas, Jaume Bonet, Pierre Vandergheynst, Bruno E. Correia
RosettaSurf - A surface-centric computational design approach. PLoS Comput. Biol. 18 (3) (2022)
Jelena Banjac, Laurène Donati, Michaël Defferrard
Learning to recover orientations from projections in single-particle cryo-EM. CoRR (2021)
Hugo Aguettaz, Erik J. Bekkers, Michaël Defferrard
ChebLieNet: Invariant Spectral Graph NNs Turned Equivariant by Riemannian Geometry on Lie Groups. CoRR (2021)
Michaël Defferrard, Martino Milani, Frédérick Gusset, Nathanaël Perraudin
DeepSphere: a graph-based spherical CNN. ICLR (2020)
Katharina Glomb, Joan Rué Queralt, David Pascucci, Michaël Defferrard, Sébastien Tourbier, Margherita Carboni, Maria Rubega, Serge Vulliémoz, Gijs Plomp, Patric Hagmann
Connectome spectral analysis to track EEG task dynamics on a subsecond scale. NeuroImage 221 (2020)
Michaël Defferrard, Martino Milani, Frédérick Gusset, Nathanaël Perraudin
DeepSphere: a graph-based spherical CNN. CoRR (2020)
Stefania Ebli, Michaël Defferrard, Gard Spreemann
Simplicial Neural Networks. CoRR (2020)
Nathanaël Perraudin, Michaël Defferrard, Tomasz Kacprzak, Raphael Sgier
DeepSphere: Efficient spherical convolutional neural network with HEALPix sampling for cosmological applications. Astron. Comput. 27 (2019)
Michaël Defferrard, Nathanaël Perraudin, Tomasz Kacprzak, Raphael Sgier
DeepSphere: towards an equivariant graph-based spherical CNN. CoRR (2019)
Nathanaël Perraudin, Michaël Defferrard, Tomasz Kacprzak, Raphael Sgier
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications. CoRR (2018)
Youngjoo Seo, Michaël Defferrard, Pierre Vandergheynst, Xavier Bresson
Structured Sequence Modeling with Graph Convolutional Recurrent Networks. ICONIP (1) (2018)
Michaël Defferrard, Sharada P. Mohanty, Sean F. Carroll, Marcel Salathé
Learning to Recognize Musical Genre from Audio. CoRR (2018)
Michaël Defferrard, Sharada P. Mohanty, Sean F. Carroll, Marcel Salathé
Learning to Recognize Musical Genre from Audio: Challenge Overview. WWW (Companion Volume) (2018)
Michaël Defferrard, Kirell Benzi, Pierre Vandergheynst, Xavier Bresson
FMA: A Dataset for Music Analysis. ISMIR (2017)
Kirell Benzi, Michaël Defferrard, Pierre Vandergheynst, Xavier Bresson
FMA: A Dataset For Music Analysis. CoRR (2016)
Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering. CoRR (2016)
Youngjoo Seo, Michaël Defferrard, Pierre Vandergheynst, Xavier Bresson
Structured Sequence Modeling with Graph Convolutional Recurrent Networks. CoRR (2016)
Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering. NIPS (2016)