Michaël Defferrard
Michaël Defferrard
PhD student, LTS2, EPFL
Verified email at epfl.ch - Homepage
Cited by
Cited by
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M Defferrard, X Bresson, P Vandergheynst
Advances in Neural Information Processing Systems (NIPS), 2016
Structured sequence modeling with graph convolutional recurrent networks
Y Seo, M Defferrard, P Vandergheynst, X Bresson
International Conference on Neural Information Processing, 362-373, 2017
FMA: A Dataset For Music Analysis
M Defferrard, K Benzi, P Vandergheynst, X Bresson
International Society for Music Information Retrieval Conference (ISMIR), 2017
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications
N Perraudin, M Defferrard, T Kacprzak, R Sgier
Astronomy and Computing, 2019
PyGSP: Graph Signal Processing in Python
M Defferrard, L Martin, R Pena, N Perraudin
https://github.com/epfl-lts2/pygsp, 0
Learning to Recognize Musical Genre from Audio: Challenge Overview
M Defferrard, SP Mohanty, SF Carroll, M Salathé
Companion Proceedings of the The Web Conference 2018, 1921-1922, 2018
DeepSphere: towards an equivariant graph-based spherical CNN
M Defferrard, N Perraudin, T Kacprzak, R Sgier
arXiv preprint arXiv:1904.05146, 2019
DeepSphere: a graph-based spherical CNN
M Defferrard, M Milani, F Gusset, N Perraudin
International Conference on Learning Representations (ICLR), 2020
Structured auto-encoder with application to music genre recognition
M Defferrard
Graph-based image inpainting
M Defferrard
Connectome spectral analysis to track EEG task dynamics on a subsecond scale
K Glomb, JR Queralt, D Pascucci, M Defferrard, S Tourbier, M Carboni, ...
NeuroImage, 117137, 2020
LiveMesh, a tool for real-time rendering of neuronal cells from morphologies
M Defferrard
Bilateral Trade Modelling with Graph Neural Networks
K Panford-Quainoo, M Defferrard
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