Nathanaël Perraudin

According to our database1, Nathanaël Perraudin authored at least 36 papers between 2013 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Scalable Graph Networks for Particle Simulations.
CoRR, 2020

GACELA - A generative adversarial context encoder for long audio inpainting.
CoRR, 2020

Emulation of cosmological mass maps with conditional generative adversarial networks.
CoRR, 2020

DeepSphere: a graph-based spherical CNN.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Forecasting Time Series With VARMA Recursions on Graphs.
IEEE Trans. Signal Process., 2019

A Context Encoder For Audio Inpainting.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Stationary time-vertex signal processing.
EURASIP J. Adv. Signal Process., 2019

Cosmological N-body simulations: a challenge for scalable generative models.
CoRR, 2019

Discriminative structural graph classification.
CoRR, 2019

DeepSphere: towards an equivariant graph-based spherical CNN.
CoRR, 2019

A Domain Agnostic Measure for Monitoring and Evaluating GANs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Adversarial Generation of Time-Frequency Features with application in audio synthesis.
Proceedings of the 36th International Conference on Machine Learning, 2019

Large Scale Graph Learning From Smooth Signals.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
A Time-Vertex Signal Processing Framework: Scalable Processing and Meaningful Representations for Time-Series on Graphs.
IEEE Trans. Signal Process., 2018

Inpainting of Long Audio Segments With Similarity Graphs.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Evaluating GANs via Duality.
CoRR, 2018

DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications.
CoRR, 2018

Improving DNN-based Music Source Separation using Phase Features.
CoRR, 2018

Designing Gabor windows using convex optimization.
Appl. Math. Comput., 2018

2017
Stationary Signal Processing on Graphs.
IEEE Trans. Signal Process., 2017

Compressive PCA for Low-Rank Matrices on Graphs.
IEEE Trans. Signal Inf. Process. over Networks, 2017

Compressive Embedding and Visualization using Graphs.
CoRR, 2017

A Time-Vertex Signal Processing Framework.
CoRR, 2017

Towards stationary time-vertex signal processing.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Predicting the evolution of stationary graph signals.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Fast Robust PCA on Graphs.
IEEE J. Sel. Top. Signal Process., 2016

Low-Rank Matrices on Graphs: Generalized Recovery & Applications.
CoRR, 2016

Compressive PCA on Graphs.
CoRR, 2016

Audio inpainting with similarity graphs.
CoRR, 2016

Predicting the evolution of stationary graph signals.
CoRR, 2016

PCA using graph total variation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Tracking time-vertex propagation using dynamic graph wavelets.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
Fast Robust PCA on Graphs.
CoRR, 2015

2014
UNLocBoX A matlab convex optimization toolbox using proximal splitting methods.
CoRR, 2014

GSPBOX: A toolbox for signal processing on graphs.
CoRR, 2014

2013
A fast Griffin-Lim algorithm.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013


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