Deep neural network models have become the dominant approach to a large
...
We study cross-modal recommendation of music tracks to be used as soundt...
As music has become more available especially on music streaming platfor...
Understanding generalization in modern machine learning settings has bee...
Supervised deep learning approaches to underdetermined audio source
sepa...
Generative Adversarial Networks (GANs) have achieved excellent audio
syn...
Recommending automatically a video given a music or a music given a vide...
We present a new probabilistic model to address semi-nonnegative matrix
...
Neural network compression techniques have become increasingly popular a...
Recent advances in Transformer models allow for unprecedented sequence
l...
Influenced by the field of Computer Vision, Generative Adversarial Netwo...
In this work, we study music/video cross-modal recommendation, i.e.
reco...
Neural style transfer, allowing to apply the artistic style of one image...
In this paper, we compare different audio signal representations, includ...
Most music streaming services rely on automatic recommendation algorithm...
The gradient noise (GN) in the stochastic gradient descent (SGD) algorit...
In this paper, we introduce a new extended version of the shallow water
...
Research on style transfer and domain translation has clearly demonstrat...
Stochastic gradient descent (SGD) has been widely used in machine learni...
Recent studies on diffusion-based sampling methods have shown that Lange...
We tackle the problem of audiovisual scene analysis for weakly-labeled d...
Recent studies have illustrated that stochastic gradient Markov Chain Mo...
Audio-visual representation learning is an important task from the
persp...
In the recent years, there has been an increasing academic and industria...
Recently, Stochastic Gradient Markov Chain Monte Carlo (SG-MCMC) methods...