Nathanaël Perraudin

According to our database, Nathanaël Perraudin authored at least 44 papers between 2013 and 2024.

Collaborative distances:

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

2024

Efficient algorithms for regularized Poisson Non-negative Matrix Factorization.

Nathanaël Perraudin, Adrien Teutrie, Cécile Hébert, Guillaume Obozinski

CoRR, 2024

Efficient and Scalable Graph Generation through Iterative Local Expansion.

Andreas Bergmeister, Karolis Martinkus, Nathanaël Perraudin, Roger Wattenhofer

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

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

Stefania Russo, Nathanaël Perraudin, Steven Stalder, Fernando Pérez-Cruz, João Paulo Leitão, Guillaume Obozinski, Jan Dirk Wegner

CoRR, 2023

2022

Diffusion Models for Graphs Benefit From Discrete State Spaces.

Kilian Konstantin Haefeli, Karolis Martinkus, Nathanaël Perraudin, Roger Wattenhofer

CoRR, 2022

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

Steven Stalder, Nathanaël Perraudin, Radhakrishna Achanta, Fernando Pérez-Cruz, Michele Volpi

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.

Karolis Martinkus, Andreas Loukas, Nathanaël Perraudin, Roger Wattenhofer

Proceedings of the International Conference on Machine Learning, 2022

2021

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

Andrés Marafioti, Piotr Majdak, Nicki Holighaus, Nathanaël Perraudin

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

Emulation of Cosmological Mass Maps with Conditional Generative Adversarial Networks.

Nathanaël Perraudin, Sandro Marcon, Aurélien Lucchi, Tomasz Kacprzak

Frontiers Artif. Intell., 2021

A data acquisition setup for data driven acoustic design.

Romana Rust, Achilleas Xydis, Kurt Heutschi, Nathanaël Perraudin, Gonzalo Casas, Chaoyu Du, Jürgen Strauss, Kurt Eggenschwiler, Fernando Pérez-Cruz, Fabio Gramazio, Matthias Kohler

CoRR, 2021

Scalable Graph Networks for Particle Simulations.

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.

Andrés Marafioti, Piotr Majdak, Nicki Holighaus, Nathanaël Perraudin

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

Forecasting Time Series With VARMA Recursions on Graphs.

Elvin Isufi, Andreas Loukas, Nathanaël Perraudin, Geert Leus

IEEE Trans. Signal Process., 2019

A Context Encoder For Audio Inpainting.

Andrés Marafioti, Nathanaël Perraudin, Nicki Holighaus, Piotr Majdak

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

Stationary time-vertex signal processing.

Andreas Loukas, Nathanaël Perraudin

EURASIP J. Adv. Signal Process., 2019

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

Nathanaël Perraudin, Ankit Srivastava, Aurélien Lucchi, Tomasz Kacprzak, Thomas Hofmann, Alexandre Réfrégier

CoRR, 2019

Discriminative structural graph classification.

Younjoo Seo, Andreas Loukas, Nathanaël Perraudin

CoRR, 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

A Domain Agnostic Measure for Monitoring and Evaluating GANs.

Paulina Grnarova, Kfir Y. Levy, Aurélien Lucchi, Nathanaël Perraudin, Ian Goodfellow, Thomas Hofmann, Andreas Krause

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.

Andrés Marafioti, Nathanaël Perraudin, Nicki Holighaus, Piotr Majdak

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

Large Scale Graph Learning From Smooth Signals.

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.

Francesco Grassi, Andreas Loukas, Nathanaël Perraudin, Benjamin Ricaud

IEEE Trans. Signal Process., 2018

Inpainting of Long Audio Segments With Similarity Graphs.

Nathanaël Perraudin, Nicki Holighaus, Piotr Majdak, Péter Balázs

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

Evaluating GANs via Duality.

Paulina Grnarova, Kfir Y. Levy, Aurélien Lucchi, Nathanaël Perraudin, Thomas Hofmann, Andreas Krause

CoRR, 2018

Improving DNN-based Music Source Separation using Phase Features.

Joachim Muth, Stefan Uhlich, Nathanaël Perraudin, Thomas Kemp, Fabien Cardinaux, Yuki Mitsufuji

CoRR, 2018

Designing Gabor windows using convex optimization.

Nathanaël Perraudin, Nicki Holighaus, Peter L. Søndergaard, Péter Balázs

Appl. Math. Comput., 2018

2017

Stationary Signal Processing on Graphs.

Nathanaël Perraudin, Pierre Vandergheynst

IEEE Trans. Signal Process., 2017

Compressive PCA for Low-Rank Matrices on Graphs.

Nauman Shahid, Nathanaël Perraudin, Gilles Puy, Pierre Vandergheynst

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

Compressive Embedding and Visualization using Graphs.

Johan Paratte, Nathanaël Perraudin, Pierre Vandergheynst

CoRR, 2017

A Time-Vertex Signal Processing Framework.

Francesco Grassi, Andreas Loukas, Nathanaël Perraudin, Benjamin Ricaud

CoRR, 2017

Towards stationary time-vertex signal processing.

Nathanaël Perraudin, Andreas Loukas, Francesco Grassi, Pierre Vandergheynst

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Predicting the evolution of stationary graph signals.

Andreas Loukas, Elvin Isufi, Nathanaël Perraudin

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

2016

Fast Robust PCA on Graphs.

Nauman Shahid, Nathanaël Perraudin, Vassilis Kalofolias, Gilles Puy, Pierre Vandergheynst

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

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

Nauman Shahid, Nathanaël Perraudin, Pierre Vandergheynst

CoRR, 2016

Compressive PCA on Graphs.

Nauman Shahid, Nathanaël Perraudin, Gilles Puy, Pierre Vandergheynst

CoRR, 2016

Audio inpainting with similarity graphs.

Nathanaël Perraudin, Nicki Holighaus, Piotr Majdak, Péter Balázs

CoRR, 2016

Predicting the evolution of stationary graph signals.

Andreas Loukas, Nathanaël Perraudin

CoRR, 2016

PCA using graph total variation.

Nauman Shahid, Nathanaël Perraudin, Vassilis Kalofolias, Benjamin Ricaud, Pierre Vandergheynst

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Tracking time-vertex propagation using dynamic graph wavelets.

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.

Nauman Shahid, Nathanaël Perraudin, Vassilis Kalofolias, Pierre Vandergheynst

CoRR, 2015

2014

UNLocBoX A matlab convex optimization toolbox using proximal splitting methods.

Nathanaël Perraudin, David I. Shuman, Gilles Puy, Pierre Vandergheynst

CoRR, 2014

GSPBOX: A toolbox for signal processing on graphs.

Nathanaël Perraudin, Johan Paratte, David I. Shuman, Vassilis Kalofolias, Pierre Vandergheynst, David K. Hammond

CoRR, 2014

2013

A fast Griffin-Lim algorithm.

Nathanaël Perraudin, Péter Balázs, Peter L. Søndergaard

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