Michaël Defferrard

According to our database, Michaël Defferrard authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

DE-HNN: An effective neural model for Circuit Netlist representation.

Zhishang Luo, Truong Son Hy, Puoya Tabaghi, Donghyeon Koh, Michaël Defferrard, Elahe Rezaei, Ryan Carey, W. Rhett Davis, Rajeev Jain, Yusu Wang

CoRR, 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

CoRR, 2024

2022

RosettaSurf - A surface-centric computational design approach.

Andreas Scheck, Stéphane Rosset, Michaël Defferrard, Andreas Loukas, Jaume Bonet, Pierre Vandergheynst, Bruno E. Correia

PLoS Comput. Biol., 2022

2021

ChebLieNet: Invariant Spectral Graph NNs Turned Equivariant by Riemannian Geometry on Lie Groups.

Hugo Aguettaz, Erik J. Bekkers, Michaël Defferrard

CoRR, 2021

Learning to recover orientations from projections in single-particle cryo-EM.

Jelena Banjac, Laurène Donati, Michaël Defferrard

CoRR, 2021

2020

Connectome spectral analysis to track EEG task dynamics on a subsecond scale.

Katharina Glomb, Joan Rué Queralt, David Pascucci, Michaël Defferrard, Sébastien Tourbier, Margherita Carboni, Maria Rubega, Serge Vulliémoz, Gijs Plomp, Patric Hagmann

NeuroImage, 2020

Simplicial Neural Networks.

Stefania Ebli, Michaël Defferrard, Gard Spreemann

CoRR, 2020

DeepSphere: a graph-based spherical CNN.

Michaël Defferrard, Martino Milani, Frédérick Gusset, Nathanaël Perraudin

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

DeepSphere: towards an equivariant graph-based spherical CNN.

Michaël Defferrard, Nathanaël Perraudin, Tomasz Kacprzak, Raphaël Sgier

CoRR, 2019

DeepSphere: Efficient spherical convolutional neural network with HEALPix sampling for cosmological applications.

Nathanaël Perraudin, Michaël Defferrard, Tomasz Kacprzak, Raphaël Sgier

Astron. Comput., 2019

2018

Learning to Recognize Musical Genre from Audio.

Michaël Defferrard, Sharada P. Mohanty, Sean F. Carroll, Marcel Salathé

CoRR, 2018

Learning to Recognize Musical Genre from Audio: Challenge Overview.

Michaël Defferrard, Sharada P. Mohanty, Sean F. Carroll, Marcel Salathé

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Structured Sequence Modeling with Graph Convolutional Recurrent Networks.

Youngjoo Seo, Michaël Defferrard, Pierre Vandergheynst, Xavier Bresson

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

FMA: A Dataset For Music Analysis.

Michaël Defferrard, Kirell Benzi, Pierre Vandergheynst, Xavier Bresson

Dataset, May, 2017

FMA: A Dataset for Music Analysis.

Michaël Defferrard, Kirell Benzi, Pierre Vandergheynst, Xavier Bresson

Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

2016

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering.

Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016