Nathanaël Perraudin

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 55

Top Topics

Diffusion Models

Negative Matrix Factorization

Grows Quadratically

Similarity Graph

Top Venues

IEEE Trans. Signal Process.

IEEE ACM Trans. Audio Speech Lang. Process.

IEEE J. Sel. Top. Signal Process.

Publications

Nathanaël Perraudin, Adrien Teutrie, Cécile Hébert, Guillaume Obozinski
Efficient algorithms for regularized Poisson Non-negative Matrix Factorization. CoRR (2024)
Andreas Bergmeister, Karolis Martinkus, Nathanaël Perraudin, Roger Wattenhofer
Efficient and Scalable Graph Generation through Iterative Local Expansion. ICLR (2024)
Andreas Bergmeister, Karolis Martinkus, Nathanaël Perraudin, Roger Wattenhofer
Efficient and Scalable Graph Generation through Iterative Local Expansion. CoRR (2023)
Stefania Russo, Nathanaël Perraudin, Steven Stalder, Fernando Pérez-Cruz, João Paulo Leitão, Guillaume Obozinski, Jan Dirk Wegner
An evaluation of deep learning models for predicting water depth evolution in urban floods. CoRR (2023)
Karolis Martinkus, Andreas Loukas, Nathanaël Perraudin, Roger Wattenhofer
SPECTRE : Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators. CoRR (2022)
Karolis Martinkus, Andreas Loukas, Nathanaël Perraudin, Roger Wattenhofer
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators. ICML (2022)
Steven Stalder, Nathanaël Perraudin, Radhakrishna Achanta, Fernando Pérez-Cruz, Michele Volpi
What You See is What You Classify: Black Box Attributions. CoRR (2022)
Steven Stalder, Nathanaël Perraudin, Radhakrishna Achanta, Fernando Pérez-Cruz, Michele Volpi
What You See is What You Classify: Black Box Attributions. NeurIPS (2022)
Kilian Konstantin Haefeli, Karolis Martinkus, Nathanaël Perraudin, Roger Wattenhofer
Diffusion Models for Graphs Benefit From Discrete State Spaces. CoRR (2022)
Nathanaël Perraudin, Sandro Marcon, Aurélien Lucchi, Tomasz Kacprzak
Emulation of Cosmological Mass Maps with Conditional Generative Adversarial Networks. Frontiers Artif. Intell. 4 (2021)
Romana Rust, Achilleas Xydis, Kurt Heutschi, Nathanaël Perraudin, Gonzalo Casas, Chaoyu Du, Jürgen Strauss, Kurt Eggenschwiler, Fernando Pérez-Cruz, Fabio Gramazio, Matthias Kohler
A data acquisition setup for data driven acoustic design. CoRR (2021)
Andrés Marafioti, Piotr Majdak, Nicki Holighaus, Nathanaël Perraudin
GACELA: A Generative Adversarial Context Encoder for Long Audio Inpainting of Music. IEEE J. Sel. Top. Signal Process. 15 (1) (2021)
Karolis Martinkus, Aurélien Lucchi, Nathanaël Perraudin
Scalable Graph Networks for Particle Simulations. AAAI (2021)
Michaël Defferrard, Martino Milani, Frédérick Gusset, Nathanaël Perraudin
DeepSphere: a graph-based spherical CNN. ICLR (2020)
Michaël Defferrard, Martino Milani, Frédérick Gusset, Nathanaël Perraudin
DeepSphere: a graph-based spherical CNN. CoRR (2020)
Andrés Marafioti, Piotr Majdak, Nicki Holighaus, Nathanaël Perraudin
GACELA - A generative adversarial context encoder for long audio inpainting. CoRR (2020)
Karolis Martinkus, Aurélien Lucchi, Nathanaël Perraudin
Scalable Graph Networks for Particle Simulations. CoRR (2020)
Nathanaël Perraudin, Sandro Marcon, Aurélien Lucchi, Tomasz Kacprzak
Emulation of cosmological mass maps with conditional generative adversarial networks. CoRR (2020)
Nathanaël Perraudin, Michaël Defferrard, Tomasz Kacprzak, Raphael Sgier
DeepSphere: Efficient spherical convolutional neural network with HEALPix sampling for cosmological applications. Astron. Comput. 27 (2019)
Vassilis Kalofolias, Nathanaël Perraudin
Large Scale Graph Learning From Smooth Signals. ICLR (Poster) (2019)
Paulina Grnarova, Kfir Y. Levy, Aurélien Lucchi, Nathanaël Perraudin, Ian Goodfellow, Thomas Hofmann, Andreas Krause
A Domain Agnostic Measure for Monitoring and Evaluating GANs. NeurIPS (2019)
Andrés Marafioti, Nicki Holighaus, Nathanaël Perraudin, Piotr Majdak
Adversarial Generation of Time-Frequency Features with application in audio synthesis. CoRR (2019)
Elvin Isufi, Andreas Loukas, Nathanaël Perraudin, Geert Leus
Forecasting Time Series With VARMA Recursions on Graphs. IEEE Trans. Signal Process. 67 (18) (2019)
Andreas Loukas, Nathanaël Perraudin
Stationary time-vertex signal processing. EURASIP J. Adv. Signal Process. 2019 (2019)
Michaël Defferrard, Nathanaël Perraudin, Tomasz Kacprzak, Raphael Sgier
DeepSphere: towards an equivariant graph-based spherical CNN. CoRR (2019)
Younjoo Seo, Andreas Loukas, Nathanaël Perraudin
Discriminative structural graph classification. CoRR (2019)
Nathanaël Perraudin, Ankit Srivastava, Aurélien Lucchi, Tomasz Kacprzak, Thomas Hofmann, Alexandre Réfrégier
Cosmological N-body simulations: a challenge for scalable generative models. CoRR (2019)
Andrés Marafioti, Nathanaël Perraudin, Nicki Holighaus, Piotr Majdak
Adversarial Generation of Time-Frequency Features with application in audio synthesis. ICML (2019)
Andrés Marafioti, Nathanaël Perraudin, Nicki Holighaus, Piotr Majdak
A Context Encoder For Audio Inpainting. IEEE ACM Trans. Audio Speech Lang. Process. 27 (12) (2019)
Nathanaël Perraudin, Nicki Holighaus, Peter L. Søndergaard, Péter Balázs
Designing Gabor windows using convex optimization. Appl. Math. Comput. 330 (2018)
Joachim Muth, Stefan Uhlich, Nathanaël Perraudin, Thomas Kemp, Fabien Cardinaux, Yuki Mitsufuji
Improving DNN-based Music Source Separation using Phase Features. CoRR (2018)
Andrés Marafioti, Nathanaël Perraudin, Nicki Holighaus, Piotr Majdak
A context encoder for audio inpainting. CoRR (2018)
Elvin Isufi, Andreas Loukas, Nathanaël Perraudin, Geert Leus
Forecasting Time Series with VARMA Recursions on Graphs. CoRR (2018)
Paulina Grnarova, Kfir Y. Levy, Aurélien Lucchi, Nathanaël Perraudin, Thomas Hofmann, Andreas Krause
Evaluating GANs via Duality. CoRR (2018)
Nathanaël Perraudin, Michaël Defferrard, Tomasz Kacprzak, Raphael Sgier
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications. CoRR (2018)
Nathanaël Perraudin, Nicki Holighaus, Piotr Majdak, Péter Balázs
Inpainting of Long Audio Segments With Similarity Graphs. IEEE ACM Trans. Audio Speech Lang. Process. 26 (6) (2018)
Francesco Grassi, Andreas Loukas, Nathanaël Perraudin, Benjamin Ricaud
A Time-Vertex Signal Processing Framework: Scalable Processing and Meaningful Representations for Time-Series on Graphs. IEEE Trans. Signal Process. 66 (3) (2018)
Andreas Loukas, Elvin Isufi, Nathanaël Perraudin
Predicting the evolution of stationary graph signals. ACSSC (2017)
Vassilis Kalofolias, Nathanaël Perraudin
Large Scale Graph Learning from Smooth Signals. CoRR (2017)
Nathanaël Perraudin, Pierre Vandergheynst
Stationary Signal Processing on Graphs. IEEE Trans. Signal Process. 65 (13) (2017)
Francesco Grassi, Andreas Loukas, Nathanaël Perraudin, Benjamin Ricaud
A Time-Vertex Signal Processing Framework. CoRR (2017)
Nathanaël Perraudin, Andreas Loukas, Francesco Grassi, Pierre Vandergheynst
Towards stationary time-vertex signal processing. ICASSP (2017)
Nauman Shahid, Nathanaël Perraudin, Gilles Puy, Pierre Vandergheynst
Compressive PCA for Low-Rank Matrices on Graphs. IEEE Trans. Signal Inf. Process. over Networks 3 (4) (2017)
Johan Paratte, Nathanaël Perraudin, Pierre Vandergheynst
Compressive Embedding and Visualization using Graphs. CoRR (2017)
Andreas Loukas, Nathanaël Perraudin
Stationary time-vertex signal processing. CoRR (2016)
Nauman Shahid, Nathanaël Perraudin, Vassilis Kalofolias, Benjamin Ricaud, Pierre Vandergheynst
PCA using graph total variation. ICASSP (2016)
Nathanaël Perraudin, Pierre Vandergheynst
Stationary signal processing on graphs. CoRR (2016)
Nathanaël Perraudin, Andreas Loukas, Francesco Grassi, Pierre Vandergheynst
Towards stationary time-vertex signal processing. CoRR (2016)
Francesco Grassi, Nathanaël Perraudin, Benjamin Ricaud
Tracking time-vertex propagation using dynamic graph wavelets. GlobalSIP (2016)
Nauman Shahid, Nathanaël Perraudin, Vassilis Kalofolias, Gilles Puy, Pierre Vandergheynst
Fast Robust PCA on Graphs. IEEE J. Sel. Top. Signal Process. 10 (4) (2016)
Nauman Shahid, Nathanaël Perraudin, Pierre Vandergheynst
Low-Rank Matrices on Graphs: Generalized Recovery & Applications. CoRR (2016)
Nathanaël Perraudin, Nicki Holighaus, Piotr Majdak, Péter Balázs
Audio inpainting with similarity graphs. CoRR (2016)
Andreas Loukas, Nathanaël Perraudin
Predicting the evolution of stationary graph signals. CoRR (2016)
Nauman Shahid, Nathanaël Perraudin, Gilles Puy, Pierre Vandergheynst
Compressive PCA on Graphs. CoRR (2016)
Francesco Grassi, Nathanaël Perraudin, Benjamin Ricaud
Tracking Time-Vertex Propagation using Dynamic Graph Wavelets. CoRR (2016)
Nauman Shahid, Nathanaël Perraudin, Vassilis Kalofolias, Pierre Vandergheynst
Fast Robust PCA on Graphs. CoRR (2015)
Nathanaël Perraudin, David I. Shuman, Gilles Puy, Pierre Vandergheynst
UNLocBoX A matlab convex optimization toolbox using proximal splitting methods. CoRR (2014)
Nathanaël Perraudin, Johan Paratte, David I. Shuman, Vassilis Kalofolias, Pierre Vandergheynst, David K. Hammond
GSPBOX: A toolbox for signal processing on graphs. CoRR (2014)
Nathanaël Perraudin, Péter Balázs, Peter L. Søndergaard
A fast Griffin-Lim algorithm. WASPAA (2013)