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Nathanaël Perraudin
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2020 – today
- 2024
- [c13]Andreas Bergmeister, Karolis Martinkus, Nathanaël Perraudin, Roger Wattenhofer:
Efficient and Scalable Graph Generation through Iterative Local Expansion. ICLR 2024 - [i34]Nathanaël Perraudin, Adrien Teutrie, Cécile Hébert, Guillaume Obozinski:
Efficient algorithms for regularized Poisson Non-negative Matrix Factorization. CoRR abs/2404.16505 (2024) - 2023
- [i33]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 abs/2302.10062 (2023) - [i32]Andreas Bergmeister, Karolis Martinkus, Nathanaël Perraudin, Roger Wattenhofer:
Efficient and Scalable Graph Generation through Iterative Local Expansion. CoRR abs/2312.11529 (2023) - 2022
- [c12]Karolis Martinkus, Andreas Loukas, Nathanaël Perraudin, Roger Wattenhofer:
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators. ICML 2022: 15159-15179 - [c11]Steven Stalder, Nathanaël Perraudin, Radhakrishna Achanta, Fernando Pérez-Cruz, Michele Volpi:
What You See is What You Classify: Black Box Attributions. NeurIPS 2022 - [i31]Karolis Martinkus, Andreas Loukas, Nathanaël Perraudin, Roger Wattenhofer:
SPECTRE : Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators. CoRR abs/2204.01613 (2022) - [i30]Steven Stalder, Nathanaël Perraudin, Radhakrishna Achanta, Fernando Pérez-Cruz
, Michele Volpi
:
What You See is What You Classify: Black Box Attributions. CoRR abs/2205.11266 (2022) - [i29]Kilian Konstantin Haefeli, Karolis Martinkus, Nathanaël Perraudin, Roger Wattenhofer:
Diffusion Models for Graphs Benefit From Discrete State Spaces. CoRR abs/2210.01549 (2022) - 2021
- [j12]Nathanaël Perraudin, Sandro Marcon, Aurélien Lucchi
, Tomasz Kacprzak:
Emulation of Cosmological Mass Maps with Conditional Generative Adversarial Networks. Frontiers Artif. Intell. 4: 673062 (2021) - [j11]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): 120-131 (2021) - [c10]Karolis Martinkus, Aurélien Lucchi, Nathanaël Perraudin:
Scalable Graph Networks for Particle Simulations. AAAI 2021: 8912-8920 - [i28]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 abs/2109.12014 (2021) - 2020
- [c9]Michaël Defferrard, Martino Milani, Frédérick Gusset, Nathanaël Perraudin
:
DeepSphere: a graph-based spherical CNN. ICLR 2020 - [i27]Nathanaël Perraudin, Sandro Marcon, Aurélien Lucchi, Tomasz Kacprzak:
Emulation of cosmological mass maps with conditional generative adversarial networks. CoRR abs/2004.08139 (2020) - [i26]Andrés Marafioti, Piotr Majdak, Nicki Holighaus
, Nathanaël Perraudin:
GACELA - A generative adversarial context encoder for long audio inpainting. CoRR abs/2005.05032 (2020) - [i25]Karolis Martinkus, Aurélien Lucchi, Nathanaël Perraudin:
Scalable Graph Networks for Particle Simulations. CoRR abs/2010.06948 (2020) - [i24]Michaël Defferrard, Martino Milani, Frédérick Gusset, Nathanaël Perraudin:
DeepSphere: a graph-based spherical CNN. CoRR abs/2012.15000 (2020)
2010 – 2019
- 2019
- [j10]Nathanaël Perraudin, Michaël Defferrard, Tomasz Kacprzak, Raphaël Sgier:
DeepSphere: Efficient spherical convolutional neural network with HEALPix sampling for cosmological applications. Astron. Comput. 27: 130-146 (2019) - [j9]Andreas Loukas, Nathanaël Perraudin
:
Stationary time-vertex signal processing. EURASIP J. Adv. Signal Process. 2019: 36 (2019) - [j8]Andrés Marafioti
, Nathanaël Perraudin
, Nicki Holighaus
, Piotr Majdak
:
A Context Encoder For Audio Inpainting. IEEE ACM Trans. Audio Speech Lang. Process. 27(12): 2362-2372 (2019) - [j7]Elvin Isufi
, Andreas Loukas
, Nathanaël Perraudin, Geert Leus
:
Forecasting Time Series With VARMA Recursions on Graphs. IEEE Trans. Signal Process. 67(18): 4870-4885 (2019) - [c8]Vassilis Kalofolias, Nathanaël Perraudin
:
Large Scale Graph Learning From Smooth Signals. ICLR (Poster) 2019 - [c7]Andrés Marafioti, Nathanaël Perraudin
, Nicki Holighaus, Piotr Majdak:
Adversarial Generation of Time-Frequency Features with application in audio synthesis. ICML 2019: 4352-4362 - [c6]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: 12069-12079 - [i23]Andrés Marafioti, Nicki Holighaus, Nathanaël Perraudin, Piotr Majdak:
Adversarial Generation of Time-Frequency Features with application in audio synthesis. CoRR abs/1902.04072 (2019) - [i22]Michaël Defferrard, Nathanaël Perraudin, Tomasz Kacprzak, Raphaël Sgier:
DeepSphere: towards an equivariant graph-based spherical CNN. CoRR abs/1904.05146 (2019) - [i21]Younjoo Seo, Andreas Loukas, Nathanaël Perraudin:
Discriminative structural graph classification. CoRR abs/1905.13422 (2019) - [i20]Nathanaël Perraudin, Ankit Srivastava, Aurélien Lucchi, Tomasz Kacprzak, Thomas Hofmann, Alexandre Réfrégier:
Cosmological N-body simulations: a challenge for scalable generative models. CoRR abs/1908.05519 (2019) - 2018
- [j6]Nathanaël Perraudin, Nicki Holighaus
, Peter L. Søndergaard, Péter Balázs:
Designing Gabor windows using convex optimization. Appl. Math. Comput. 330: 266-287 (2018) - [j5]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): 1079-1090 (2018) - [j4]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): 817-829 (2018) - [i19]Joachim Muth, Stefan Uhlich, Nathanaël Perraudin, Thomas Kemp, Fabien Cardinaux, Yuki Mitsufuji:
Improving DNN-based Music Source Separation using Phase Features. CoRR abs/1807.02710 (2018) - [i18]Elvin Isufi, Andreas Loukas, Nathanaël Perraudin, Geert Leus:
Forecasting Time Series with VARMA Recursions on Graphs. CoRR abs/1810.08581 (2018) - [i17]Andrés Marafioti, Nathanaël Perraudin, Nicki Holighaus, Piotr Majdak:
A context encoder for audio inpainting. CoRR abs/1810.12138 (2018) - [i16]Nathanaël Perraudin, Michaël Defferrard, Tomasz Kacprzak, Raphaël Sgier:
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications. CoRR abs/1810.12186 (2018) - [i15]Paulina Grnarova, Kfir Y. Levy, Aurélien Lucchi, Nathanaël Perraudin, Thomas Hofmann, Andreas Krause:
Evaluating GANs via Duality. CoRR abs/1811.05512 (2018) - 2017
- [j3]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): 695-710 (2017) - [j2]Nathanaël Perraudin
, Pierre Vandergheynst:
Stationary Signal Processing on Graphs. IEEE Trans. Signal Process. 65(13): 3462-3477 (2017) - [c5]Andreas Loukas, Elvin Isufi, Nathanaël Perraudin:
Predicting the evolution of stationary graph signals. ACSSC 2017: 60-64 - [c4]Nathanaël Perraudin, Andreas Loukas, Francesco Grassi
, Pierre Vandergheynst:
Towards stationary time-vertex signal processing. ICASSP 2017: 3914-3918 - [i14]Johan Paratte, Nathanaël Perraudin, Pierre Vandergheynst:
Compressive Embedding and Visualization using Graphs. CoRR abs/1702.05815 (2017) - [i13]Francesco Grassi, Andreas Loukas, Nathanaël Perraudin, Benjamin Ricaud:
A Time-Vertex Signal Processing Framework. CoRR abs/1705.02307 (2017) - [i12]Vassilis Kalofolias, Nathanaël Perraudin:
Large Scale Graph Learning from Smooth Signals. CoRR abs/1710.05654 (2017) - 2016
- [j1]Nauman Shahid
, Nathanaël Perraudin
, Vassilis Kalofolias, Gilles Puy, Pierre Vandergheynst:
Fast Robust PCA on Graphs. IEEE J. Sel. Top. Signal Process. 10(4): 740-756 (2016) - [c3]Francesco Grassi
, Nathanaël Perraudin, Benjamin Ricaud:
Tracking time-vertex propagation using dynamic graph wavelets. GlobalSIP 2016: 351-355 - [c2]Nauman Shahid, Nathanaël Perraudin
, Vassilis Kalofolias, Benjamin Ricaud, Pierre Vandergheynst:
PCA using graph total variation. ICASSP 2016: 4668-4672 - [i11]Nathanaël Perraudin, Pierre Vandergheynst:
Stationary signal processing on graphs. CoRR abs/1601.02522 (2016) - [i10]Nauman Shahid, Nathanaël Perraudin, Gilles Puy, Pierre Vandergheynst:
Compressive PCA on Graphs. CoRR abs/1602.02070 (2016) - [i9]Nauman Shahid, Nathanaël Perraudin, Pierre Vandergheynst:
Low-Rank Matrices on Graphs: Generalized Recovery & Applications. CoRR abs/1605.05579 (2016) - [i8]Francesco Grassi, Nathanaël Perraudin, Benjamin Ricaud:
Tracking Time-Vertex Propagation using Dynamic Graph Wavelets. CoRR abs/1606.06653 (2016) - [i7]Nathanaël Perraudin, Andreas Loukas, Francesco Grassi, Pierre Vandergheynst:
Towards stationary time-vertex signal processing. CoRR abs/1606.06962 (2016) - [i6]Andreas Loukas, Nathanaël Perraudin:
Predicting the evolution of stationary graph signals. CoRR abs/1607.03313 (2016) - [i5]Nathanaël Perraudin, Nicki Holighaus, Piotr Majdak, Péter Balázs:
Audio inpainting with similarity graphs. CoRR abs/1607.06667 (2016) - [i4]Andreas Loukas, Nathanaël Perraudin:
Stationary time-vertex signal processing. CoRR abs/1611.00255 (2016) - 2015
- [i3]Nauman Shahid, Nathanaël Perraudin, Vassilis Kalofolias, Pierre Vandergheynst:
Fast Robust PCA on Graphs. CoRR abs/1507.08173 (2015) - 2014
- [i2]Nathanaël Perraudin, David I. Shuman, Gilles Puy, Pierre Vandergheynst:
UNLocBoX A matlab convex optimization toolbox using proximal splitting methods. CoRR abs/1402.0779 (2014) - [i1]Nathanaël Perraudin, Johan Paratte, David I. Shuman, Vassilis Kalofolias, Pierre Vandergheynst, David K. Hammond:
GSPBOX: A toolbox for signal processing on graphs. CoRR abs/1408.5781 (2014) - 2013
- [c1]Nathanaël Perraudin
, Péter Balázs, Peter L. Søndergaard:
A fast Griffin-Lim algorithm. WASPAA 2013: 1-4
Coauthor Index
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last updated on 2024-08-08 20:11 CEST by the dblp team
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