Michaël Defferrard
Michaël Defferrard
Research Scientist, AI Research, Qualcomm
Verified email at - 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
Simplicial Neural Networks
S Ebli, M Defferrard, G Spreemann
Topological Data Analysis and Beyond workshop at NeurIPS, 2020
DeepSphere: a graph-based spherical CNN
M Defferrard, M Milani, F Gusset, N Perraudin
International Conference on Learning Representations (ICLR), 2020
PyGSP: Graph Signal Processing in Python
M Defferrard, L Martin, R Pena, N Perraudin, 0
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 221, 117137, 2020
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
Representation Learning on Graphs and Manifolds workshop at ICLR, 2019
Bilateral Trade Modeling with Graph Neural Networks
K Panford-Quainoo, AJ Bose, M Defferrard
RosettaSurf—A surface-centric computational design approach
A Scheck, S Rosset, M Defferrard, A Loukas, J Bonet, P Vandergheynst, ...
PLOS Computational Biology 18 (3), e1009178, 2022
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
N Butt, B Manczak, A Wiggers, C Rainone, D Zhang, M Defferrard, ...
arXiv preprint arXiv:2402.04858, 2024
Deep sharpening of topological features for de novo protein design
Z Harteveld, J Southern, M Defferrard, A Loukas, P Vandergheynst, ...
ICLR2022 Machine Learning for Drug Discovery, 2022
PyUNLocBoX: Optimization by Proximal Splitting
M Defferrard, R Pena, N Perraudin
doi 10, 111, 2017
Summary of Tutorials at The Web Conference 2021
R West, S Bhagat, P Groth, M Zitnik, FM Couto, P Lisena, ...
Companion Proceedings of the Web Conference 2021, 727-733, 2021
Learning to recover orientations from projections in single-particle cryo-EM
J Banjac, L Donati, M Defferrard
arXiv preprint arXiv:2104.06237, 2021
DE-HNN: An effective neural model for Circuit Netlist representation
Z Luo, TS Hy, P Tabaghi, M Defferrard, E Rezaei, RM Carey, R Davis, ...
International Conference on Artificial Intelligence and Statistics, 4258-4266, 2024
Structured auto-encoder with application to music genre recognition
M Defferrard
ChebLieNet: Invariant spectral graph NNs turned equivariant by Riemannian geometry on Lie groups
H Aguettaz, EJ Bekkers, M Defferrard
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