b'Ga\xc3\xabl Richard'

research

∙ 07/20/2023

Transfer Learning and Bias Correction with Pre-trained Audio Embeddings

Deep neural network models have become the dominant approach to a large ...

0 Changhong Wang, et al. ∙

research

∙ 06/12/2023

Video-to-Music Recommendation using Temporal Alignment of Segments

We study cross-modal recommendation of music tracks to be used as soundt...

0 Laure Prétet, et al. ∙

research

∙ 11/14/2022

Exploiting Device and Audio Data to Tag Music with User-Aware Listening Contexts

As music has become more available especially on music streaming platfor...

0 Karim M. Ibrahim, et al. ∙

research

∙ 03/04/2022

Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms

Understanding generalization in modern machine learning settings has bee...

0 Milad Sefidgaran, et al. ∙

research

∙ 01/24/2022

Unsupervised Audio Source Separation Using Differentiable Parametric Source Models

Supervised deep learning approaches to underdetermined audio source sepa...

0 Kilian Schulze-Forster, et al. ∙

research

∙ 08/03/2021

DarkGAN: Exploiting Knowledge Distillation for Comprehensible Audio Synthesis with GANs

Generative Adversarial Networks (GANs) have achieved excellent audio syn...

0 Javier Nistal, et al. ∙

research

∙ 08/02/2021

Is there a "language of music-video clips" ? A qualitative and quantitative study

Recommending automatically a video given a music or a music given a vide...

0 Laure Prétet, et al. ∙

research

∙ 07/07/2021

Probabilistic semi-nonnegative matrix factorization: a Skellam-based framework

We present a new probabilistic model to address semi-nonnegative matrix ...

0 Benoit Fuentes, et al. ∙

research

∙ 06/07/2021

Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks

Neural network compression techniques have become increasingly popular a...

0 Melih Barsbey, et al. ∙

research

∙ 05/18/2021

Relative Positional Encoding for Transformers with Linear Complexity

Recent advances in Transformer models allow for unprecedented sequence l...

0 Antoine Liutkus, et al. ∙

research

∙ 05/04/2021

VQCPC-GAN: Variable-length Adversarial Audio Synthesis using Vector-Quantized Contrastive Predictive Coding

Influenced by the field of Computer Vision, Generative Adversarial Netwo...

0 Javier Nistal, et al. ∙

research

∙ 04/30/2021

Cross-Modal Music-Video Recommendation: A Study of Design Choices

In this work, we study music/video cross-modal recommendation, i.e. reco...

0 Laure Prétet, et al. ∙

research

∙ 02/10/2021

Self-Supervised VQ-VAE For One-Shot Music Style Transfer

Neural style transfer, allowing to apply the artistic style of one image...

0 Ondřej Cífka, et al. ∙

research

∙ 06/16/2020

Comparing Representations for Audio Synthesis Using Generative Adversarial Networks

In this paper, we compare different audio signal representations, includ...

0 Javier Nistal, et al. ∙

research

∙ 05/18/2020

Learning to rank music tracks using triplet loss

Most music streaming services rely on automatic recommendation algorithm...

0 Laure Prétet, et al. ∙

research

∙ 11/29/2019

On the Heavy-Tailed Theory of Stochastic Gradient Descent for Deep Neural Networks

The gradient noise (GN) in the stochastic gradient descent (SGD) algorit...

0 Umut Şimşekli, et al. ∙

research

∙ 11/27/2019

Augmented Skew-Symetric System for Shallow-Water System with Surface Tension Allowing Large Gradient of Density

In this paper, we introduce a new extended version of the shallow water ...

0 Didier Bresch, et al. ∙

research

∙ 07/04/2019

Supervised Symbolic Music Style Translation Using Synthetic Data

Research on style transfer and domain translation has clearly demonstrat...

0 Ondřej Cífka, et al. ∙

research

∙ 06/21/2019

First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise

Stochastic gradient descent (SGD) has been widely used in machine learni...

12 Thanh Huy Nguyen, et al. ∙

research

∙ 01/22/2019

Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization

Recent studies on diffusion-based sampling methods have shown that Lange...

0 Thanh Huy Nguyen, et al. ∙

research

∙ 11/09/2018

Identify, locate and separate: Audio-visual object extraction in large video collections using weak supervision

We tackle the problem of audiovisual scene analysis for weakly-labeled d...

0 Sanjeel Parekh, et al. ∙

research

∙ 06/07/2018

Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization

Recent studies have illustrated that stochastic gradient Markov Chain Mo...

0 Umut Şimşekli, et al. ∙

research

∙ 04/19/2018

Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events

Audio-visual representation learning is an important task from the persp...

0 Sanjeel Parekh, et al. ∙

research

∙ 02/26/2018

A Generative Model for Non-Intrusive Load Monitoring in Commercial Buildings

In the recent years, there has been an increasing academic and industria...

0 Simon Henriet, et al. ∙

research

∙ 02/10/2016

Stochastic Quasi-Newton Langevin Monte Carlo

Recently, Stochastic Gradient Markov Chain Monte Carlo (SG-MCMC) methods...

0 Umut Şimşekli, et al. ∙

Gaël Richard

Featured Co-authors

Transfer Learning and Bias Correction with Pre-trained Audio Embeddings

Video-to-Music Recommendation using Temporal Alignment of Segments

Exploiting Device and Audio Data to Tag Music with User-Aware Listening Contexts

Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms

Unsupervised Audio Source Separation Using Differentiable Parametric Source Models

DarkGAN: Exploiting Knowledge Distillation for Comprehensible Audio Synthesis with GANs

Is there a "language of music-video clips" ? A qualitative and quantitative study

Probabilistic semi-nonnegative matrix factorization: a Skellam-based framework

Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks

Relative Positional Encoding for Transformers with Linear Complexity

VQCPC-GAN: Variable-length Adversarial Audio Synthesis using Vector-Quantized Contrastive Predictive Coding

Cross-Modal Music-Video Recommendation: A Study of Design Choices

Self-Supervised VQ-VAE For One-Shot Music Style Transfer

Comparing Representations for Audio Synthesis Using Generative Adversarial Networks

Learning to rank music tracks using triplet loss

On the Heavy-Tailed Theory of Stochastic Gradient Descent for Deep Neural Networks

Augmented Skew-Symetric System for Shallow-Water System with Surface Tension Allowing Large Gradient of Density

Supervised Symbolic Music Style Translation Using Synthetic Data

First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise

Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization

Identify, locate and separate: Audio-visual object extraction in large video collections using weak supervision

Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization

Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events

A Generative Model for Non-Intrusive Load Monitoring in Commercial Buildings

Stochastic Quasi-Newton Langevin Monte Carlo