Nathanaël Perraudin

Orcid: 0000-0001-8285-1308

According to our database¹, Nathanaël Perraudin authored at least 43 papers between 2013 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2023

Efficient and Scalable Graph Generation through Iterative Local Expansion.

[BibT_eX]

[DOI]

CoRR, 2023

An evaluation of deep learning models for predicting water depth evolution in urban floods.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Diffusion Models for Graphs Benefit From Discrete State Spaces.

[BibT_eX]

[DOI]

Kilian Konstantin Haefeli

Karolis Martinkus

Nathanaël Perraudin

Roger Wattenhofer

CoRR, 2022

What You See is What You Classify: Black Box Attributions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

GACELA: A Generative Adversarial Context Encoder for Long Audio Inpainting of Music.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2021

Emulation of Cosmological Mass Maps with Conditional Generative Adversarial Networks.

[BibT_eX]

[DOI]

Frontiers Artif. Intell., 2021

A data acquisition setup for data driven acoustic design.

[BibT_eX]

[DOI]

CoRR, 2021

Scalable Graph Networks for Particle Simulations.

[BibT_eX]

[DOI]

Karolis Martinkus

Aurélien Lucchi

Nathanaël Perraudin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

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

[BibT_eX]

[DOI]

CoRR, 2020

DeepSphere: a graph-based spherical CNN.

[BibT_eX]

[DOI]

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

2019

Forecasting Time Series With VARMA Recursions on Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

A Context Encoder For Audio Inpainting.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Stationary time-vertex signal processing.

[BibT_eX]

[DOI]

Andreas Loukas

Nathanaël Perraudin

EURASIP J. Adv. Signal Process., 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Discriminative structural graph classification.

[BibT_eX]

[DOI]

Younjoo Seo

Andreas Loukas

Nathanaël Perraudin

CoRR, 2019

DeepSphere: towards an equivariant graph-based spherical CNN.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

Astron. Comput., 2019

A Domain Agnostic Measure for Monitoring and Evaluating GANs.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Large Scale Graph Learning From Smooth Signals.

[BibT_eX]

[DOI]

Vassilis Kalofolias

Nathanaël Perraudin

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.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2018

Inpainting of Long Audio Segments With Similarity Graphs.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2018

Evaluating GANs via Duality.

[BibT_eX]

[DOI]

CoRR, 2018

Improving DNN-based Music Source Separation using Phase Features.

[BibT_eX]

[DOI]

CoRR, 2018

Designing Gabor windows using convex optimization.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2018

2017

Stationary Signal Processing on Graphs.

[BibT_eX]

[DOI]

Nathanaël Perraudin

Pierre Vandergheynst

IEEE Trans. Signal Process., 2017

Compressive PCA for Low-Rank Matrices on Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2017

Compressive Embedding and Visualization using Graphs.

[BibT_eX]

[DOI]

Johan Paratte

Nathanaël Perraudin

Pierre Vandergheynst

CoRR, 2017

A Time-Vertex Signal Processing Framework.

[BibT_eX]

[DOI]

CoRR, 2017

Towards stationary time-vertex signal processing.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Predicting the evolution of stationary graph signals.

[BibT_eX]

[DOI]

Andreas Loukas

Elvin Isufi

Nathanaël Perraudin

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

Fast Robust PCA on Graphs.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2016

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

[BibT_eX]

[DOI]

Nauman Shahid

Nathanaël Perraudin

Pierre Vandergheynst

CoRR, 2016

Compressive PCA on Graphs.

[BibT_eX]

[DOI]

CoRR, 2016

Audio inpainting with similarity graphs.

[BibT_eX]

[DOI]

CoRR, 2016

Predicting the evolution of stationary graph signals.

[BibT_eX]

[DOI]

Andreas Loukas

Nathanaël Perraudin

CoRR, 2016

PCA using graph total variation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Tracking time-vertex propagation using dynamic graph wavelets.

[BibT_eX]

[DOI]

Francesco Grassi

Nathanaël Perraudin

Benjamin Ricaud

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015

Fast Robust PCA on Graphs.

[BibT_eX]

[DOI]

CoRR, 2015

2014

UNLocBoX A matlab convex optimization toolbox using proximal splitting methods.

[BibT_eX]

[DOI]

CoRR, 2014

GSPBOX: A toolbox for signal processing on graphs.

[BibT_eX]

[DOI]

CoRR, 2014

2013

A fast Griffin-Lim algorithm.

[BibT_eX]

[DOI]

Nathanaël Perraudin

Péter Balázs

Peter L. Søndergaard

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013

Nathanaël Perraudin

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