Nathanaël Perraudin

63 papers A* 7Misc 5Journal 48Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	Bootstrapping Language-Audio Pre-training for Music Captioning. ICASSP Luca A. Lanzendörfer, Constantin Pinkl, Nathanaël Perraudin, Roger Wattenhofer
2025	Misc	`conf`	Coarse-to-Fine Text-to-Music Latent Diffusion. ICASSP Luca A. Lanzendörfer, Tongyu Lu, Nathanaël Perraudin, Dorien Herremans, Roger Wattenhofer
2024	J	`jnl`	Efficient algorithms for regularized Poisson Non-negative Matrix Factorization. CoRR Nathanaël Perraudin, Adrien Teutrie, Cécile Hébert, Guillaume Obozinski
2024	A*	`conf`	Efficient and Scalable Graph Generation through Iterative Local Expansion. ICLR Andreas Bergmeister, Karolis Martinkus, Nathanaël Perraudin, Roger Wattenhofer
2024	J	`jnl`	From STEM-EDXS data to phase separation and quantification using physics-guided NMF. Mach. Learn. Sci. Technol. Adrien Teurtrie, Nathanaël Perraudin, Thomas Holvoet, Hui Chen, Duncan T. L. Alexander, Guillaume Obozinski, Cécile Hébert
2024	J	`jnl`	High Resolution Seismic Waveform Generation using Denoising Diffusion. CoRR Andreas Bergmeister, Kadek Hendrawan Palgunadi, Andrea Bosisio, Laura Ermert, Maria Koroni, Nathanaël Perraudin, Simon Dirmeier, Men-Andrin Meier
2023	J	`jnl`	An evaluation of deep learning models for predicting water depth evolution in urban floods. CoRR Stefania Russo, Nathanaël Perraudin, Steven Stalder, Fernando Pérez-Cruz, João Paulo Leitão, Guillaume Obozinski, Jan Dirk Wegner
2023	J	`jnl`	Efficient and Scalable Graph Generation through Iterative Local Expansion. CoRR Andreas Bergmeister, Karolis Martinkus, Nathanaël Perraudin, Roger Wattenhofer
2022	J	`jnl`	Diffusion Models for Graphs Benefit From Discrete State Spaces. CoRR Kilian Konstantin Haefeli, Karolis Martinkus, Nathanaël Perraudin, Roger Wattenhofer
2022	J	`jnl`	SPECTRE : Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators. CoRR Karolis Martinkus, Andreas Loukas, Nathanaël Perraudin, Roger Wattenhofer
2022	A*	`conf`	SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators. ICML Karolis Martinkus, Andreas Loukas, Nathanaël Perraudin, Roger Wattenhofer
2022	A*	`conf`	What You See is What You Classify: Black Box Attributions. NeurIPS Steven Stalder, Nathanaël Perraudin, Radhakrishna Achanta, Fernando Pérez-Cruz, Michele Volpi
2022	J	`jnl`	What You See is What You Classify: Black Box Attributions. CoRR Steven Stalder, Nathanaël Perraudin, Radhakrishna Achanta, Fernando Pérez-Cruz, Michele Volpi
2021	J	`jnl`	A data acquisition setup for data driven acoustic design. CoRR Romana Rust, Achilleas Xydis, Kurt Heutschi, Nathanaël Perraudin, Gonzalo Casas, Chaoyu Du, Jürgen Strauss, Kurt Eggenschwiler, Fernando Pérez-Cruz, Fabio Gramazio, Matthias Kohler
2021	J	`jnl`	Emulation of Cosmological Mass Maps with Conditional Generative Adversarial Networks. Frontiers Artif. Intell. Nathanaël Perraudin, Sandro Marcon, Aurélien Lucchi, Tomasz Kacprzak
2021	J	`jnl`	GACELA: A Generative Adversarial Context Encoder for Long Audio Inpainting of Music. IEEE J. Sel. Top. Signal Process. Andrés Marafioti, Piotr Majdak, Nicki Holighaus, Nathanaël Perraudin
2021	A*	`conf`	Scalable Graph Networks for Particle Simulations. AAAI Karolis Martinkus, Aurélien Lucchi, Nathanaël Perraudin
2020	A*	`conf`	DeepSphere: a graph-based spherical CNN. ICLR Michaël Defferrard, Martino Milani, Frédérick Gusset, Nathanaël Perraudin
2020	J	`jnl`	DeepSphere: a graph-based spherical CNN. CoRR Michaël Defferrard, Martino Milani, Frédérick Gusset, Nathanaël Perraudin
2020	J	`jnl`	Emulation of cosmological mass maps with conditional generative adversarial networks. CoRR Nathanaël Perraudin, Sandro Marcon, Aurélien Lucchi, Tomasz Kacprzak
2020	J	`jnl`	GACELA - A generative adversarial context encoder for long audio inpainting. CoRR Andrés Marafioti, Piotr Majdak, Nicki Holighaus, Nathanaël Perraudin
2020	J	`jnl`	Scalable Graph Networks for Particle Simulations. CoRR Karolis Martinkus, Aurélien Lucchi, Nathanaël Perraudin
2019	J	`jnl`	A Context Encoder For Audio Inpainting. IEEE ACM Trans. Audio Speech Lang. Process. Andrés Marafioti, Nathanaël Perraudin, Nicki Holighaus, Piotr Majdak
2019	A*	`conf`	A Domain Agnostic Measure for Monitoring and Evaluating GANs. NeurIPS Paulina Grnarova, Kfir Y. Levy, Aurélien Lucchi, Nathanaël Perraudin, Ian J. Goodfellow, Thomas Hofmann, Andreas Krause
2019	A*	`conf`	Adversarial Generation of Time-Frequency Features with application in audio synthesis. ICML Andrés Marafioti, Nathanaël Perraudin, Nicki Holighaus, Piotr Majdak
2019	J	`jnl`	Adversarial Generation of Time-Frequency Features with application in audio synthesis. CoRR Andrés Marafioti, Nicki Holighaus, Nathanaël Perraudin, Piotr Majdak
2019	J	`jnl`	Cosmological N-body simulations: a challenge for scalable generative models. CoRR Nathanaël Perraudin, Ankit Srivastava, Aurélien Lucchi, Tomasz Kacprzak, Thomas Hofmann, Alexandre Réfrégier
2019	J	`jnl`	DeepSphere: Efficient spherical convolutional neural network with HEALPix sampling for cosmological applications. Astron. Comput. Nathanaël Perraudin, Michaël Defferrard, Tomasz Kacprzak, Raphaël Sgier
2019	J	`jnl`	DeepSphere: towards an equivariant graph-based spherical CNN. CoRR Michaël Defferrard, Nathanaël Perraudin, Tomasz Kacprzak, Raphaël Sgier
2019	J	`jnl`	Discriminative structural graph classification. CoRR Younjoo Seo, Andreas Loukas, Nathanaël Perraudin
2019	J	`jnl`	Forecasting Time Series With VARMA Recursions on Graphs. IEEE Trans. Signal Process. Elvin Isufi, Andreas Loukas, Nathanaël Perraudin, Geert Leus
2019	—	`conf`	Large Scale Graph Learning From Smooth Signals. ICLR (Poster) Vassilis Kalofolias, Nathanaël Perraudin
2019	J	`jnl`	Stationary time-vertex signal processing. EURASIP J. Adv. Signal Process. Andreas Loukas, Nathanaël Perraudin
2018	J	`jnl`	A Time-Vertex Signal Processing Framework: Scalable Processing and Meaningful Representations for Time-Series on Graphs. IEEE Trans. Signal Process. Francesco Grassi, Andreas Loukas, Nathanaël Perraudin, Benjamin Ricaud
2018	J	`jnl`	A context encoder for audio inpainting. CoRR Andrés Marafioti, Nathanaël Perraudin, Nicki Holighaus, Piotr Majdak
2018	J	`jnl`	DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications. CoRR Nathanaël Perraudin, Michaël Defferrard, Tomasz Kacprzak, Raphaël Sgier
2018	J	`jnl`	Designing Gabor windows using convex optimization. Appl. Math. Comput. Nathanaël Perraudin, Nicki Holighaus, Peter L. Søndergaard, Péter Balázs
2018	J	`jnl`	Evaluating GANs via Duality. CoRR Paulina Grnarova, Kfir Y. Levy, Aurélien Lucchi, Nathanaël Perraudin, Thomas Hofmann, Andreas Krause
2018	J	`jnl`	Forecasting Time Series with VARMA Recursions on Graphs. CoRR Elvin Isufi, Andreas Loukas, Nathanaël Perraudin, Geert Leus
2018	J	`jnl`	Improving DNN-based Music Source Separation using Phase Features. CoRR Joachim Muth, Stefan Uhlich, Nathanaël Perraudin, Thomas Kemp, Fabien Cardinaux, Yuki Mitsufuji
2018	J	`jnl`	Inpainting of Long Audio Segments With Similarity Graphs. IEEE ACM Trans. Audio Speech Lang. Process. Nathanaël Perraudin, Nicki Holighaus, Piotr Majdak, Péter Balázs
2017	J	`jnl`	A Time-Vertex Signal Processing Framework. CoRR Francesco Grassi, Andreas Loukas, Nathanaël Perraudin, Benjamin Ricaud
2017	J	`jnl`	Compressive Embedding and Visualization using Graphs. CoRR Johan Paratte, Nathanaël Perraudin, Pierre Vandergheynst
2017	J	`jnl`	Compressive PCA for Low-Rank Matrices on Graphs. IEEE Trans. Signal Inf. Process. over Networks Nauman Shahid, Nathanaël Perraudin, Gilles Puy, Pierre Vandergheynst
2017	J	`jnl`	Large Scale Graph Learning from Smooth Signals. CoRR Vassilis Kalofolias, Nathanaël Perraudin
2017	Misc	`conf`	Predicting the evolution of stationary graph signals. ACSSC Andreas Loukas, Elvin Isufi, Nathanaël Perraudin
2017	J	`jnl`	Stationary Signal Processing on Graphs. IEEE Trans. Signal Process. Nathanaël Perraudin, Pierre Vandergheynst
2017	Misc	`conf`	Towards stationary time-vertex signal processing. ICASSP Nathanaël Perraudin, Andreas Loukas, Francesco Grassi, Pierre Vandergheynst
2016	J	`jnl`	Audio inpainting with similarity graphs. CoRR Nathanaël Perraudin, Nicki Holighaus, Piotr Majdak, Péter Balázs
2016	J	`jnl`	Compressive PCA on Graphs. CoRR Nauman Shahid, Nathanaël Perraudin, Gilles Puy, Pierre Vandergheynst
2016	J	`jnl`	Fast Robust PCA on Graphs. IEEE J. Sel. Top. Signal Process. Nauman Shahid, Nathanaël Perraudin, Vassilis Kalofolias, Gilles Puy, Pierre Vandergheynst
2016	J	`jnl`	Low-Rank Matrices on Graphs: Generalized Recovery & Applications. CoRR Nauman Shahid, Nathanaël Perraudin, Pierre Vandergheynst
2016	Misc	`conf`	PCA using graph total variation. ICASSP Nauman Shahid, Nathanaël Perraudin, Vassilis Kalofolias, Benjamin Ricaud, Pierre Vandergheynst
2016	J	`jnl`	Predicting the evolution of stationary graph signals. CoRR Andreas Loukas, Nathanaël Perraudin
2016	J	`jnl`	Stationary signal processing on graphs. CoRR Nathanaël Perraudin, Pierre Vandergheynst
2016	J	`jnl`	Stationary time-vertex signal processing. CoRR Andreas Loukas, Nathanaël Perraudin
2016	J	`jnl`	Towards stationary time-vertex signal processing. CoRR Nathanaël Perraudin, Andreas Loukas, Francesco Grassi, Pierre Vandergheynst
2016	J	`jnl`	Tracking Time-Vertex Propagation using Dynamic Graph Wavelets. CoRR Francesco Grassi, Nathanaël Perraudin, Benjamin Ricaud
2016	—	`conf`	Tracking time-vertex propagation using dynamic graph wavelets. GlobalSIP Francesco Grassi, Nathanaël Perraudin, Benjamin Ricaud
2015	J	`jnl`	Fast Robust PCA on Graphs. CoRR Nauman Shahid, Nathanaël Perraudin, Vassilis Kalofolias, Pierre Vandergheynst
2014	J	`jnl`	GSPBOX: A toolbox for signal processing on graphs. CoRR Nathanaël Perraudin, Johan Paratte, David I. Shuman, Vassilis Kalofolias, Pierre Vandergheynst, David K. Hammond
2014	J	`jnl`	UNLocBoX A matlab convex optimization toolbox using proximal splitting methods. CoRR Nathanaël Perraudin, David I. Shuman, Gilles Puy, Pierre Vandergheynst
2013	—	`conf`	A fast Griffin-Lim algorithm. WASPAA Nathanaël Perraudin, Péter Balázs, Peter L. Søndergaard