389 citations · 408 across the 8 of their papers we have counts for
9 papers
Multiple Noises in Diffusion Model for Semi-Supervised Multi-Domain Translation
Tsiry Mayet, Simon Bernard, Romain Herault +1
In this work, we address the challenge of multi-domain translation, where the objective is to learn mappings between arbitrary configurations of domains within a defined set (such…
Domain Translation via Latent Space Mapping
Tsiry Mayet, Simon Bernard, Clement Chatelain +1
In this paper, we investigate the problem of multi-domain translation: given an element of domain , we would like to generate a corresponding sample in another domain $B…
Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation
Cyprien Ruffino, Romain Hérault, Eric Laloy +1
Generative models have recently received renewed attention as a result of adversarial learning. Generative adversarial networks consist of samples generation model and a discrimina…
An efficient supervised dictionary learning method for audio signal recognition
Imad Rida, Romain Hérault, Gilles Gasso
Machine hearing or listening represents an emerging area. Conventional approaches rely on the design of handcrafted features specialized to a specific audio task and that can hardl…
Neural Networks Regularization Through Class-wise Invariant Representation Learning
Soufiane Belharbi, Clément Chatelain, Romain Hérault +1
Training deep neural networks is known to require a large number of training samples. However, in many applications only few training samples are available. In this work, we tackle…
Training-image based geostatistical inversion using a spatial generative adversarial neural network
Eric Laloy, Romain Hérault, Diederik Jacques +1
Probabilistic inversion within a multiple-point statistics framework is often computationally prohibitive for high-dimensional problems. To partly address this, we introduce and ev…