Perraudin, Nathanaël

11 publications

NeurIPSW 2024 BLAP: Bootstrapping Language-Audio Pre-Training for Music Captioning Luca A Lanzendörfer, Constantin Pinkl, Nathanaël Perraudin, Roger Wattenhofer

NeurIPSW 2024 Coarse-to-Fine Text-to-Music Latent Diffusion Luca A Lanzendörfer, Tongyu Lu, Nathanaël Perraudin, Dorien Herremans, Roger Wattenhofer

ICLR 2024 Efficient and Scalable Graph Generation Through Iterative Local Expansion Andreas Bergmeister, Karolis Martinkus, Nathanaël Perraudin, Roger Wattenhofer

NeurIPSW 2022 Diffusion Models for Graphs Benefit from Discrete State Spaces Kilian Konstantin Haefeli, Karolis Martinkus, Nathanaël Perraudin, Roger Wattenhofer

ICML 2022 SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-Shot Graph Generators Karolis Martinkus, Andreas Loukas, Nathanaël Perraudin, Roger Wattenhofer

NeurIPS 2022 What You See Is What You Classify: Black Box Attributions Steven Stalder, Nathanael Perraudin, Radhakrishna Achanta, Fernando Perez-Cruz, Michele Volpi

AAAI 2021 Scalable Graph Networks for Particle Simulations Karolis Martinkus, Aurélien Lucchi, Nathanaël Perraudin

ICLR 2020 DeepSphere: A Graph-Based Spherical CNN Michaël Defferrard, Martino Milani, Frédérick Gusset, Nathanaël Perraudin

NeurIPS 2019 A Domain Agnostic Measure for Monitoring and Evaluating GANs Paulina Grnarova, Kfir Y. Levy, Aurelien Lucchi, Nathanael Perraudin, Ian Goodfellow, Thomas Hofmann, Andreas Krause

ICML 2019 Adversarial Generation of Time-Frequency Features with Application in Audio Synthesis Andrés Marafioti, Nathanaël Perraudin, Nicki Holighaus, Piotr Majdak

ICLR 2019 Large Scale Graph Learning from Smooth Signals Vassilis Kalofolias, Nathanaël Perraudin