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4 papers · 1 filter
X-vectors: New Quantitative Biomarkers for Early Parkinson's Disease Detection from Speech
Laetitia Jeancolas, Dijana Petrovska-Delacrétaz, Graziella Mangone +5
Many articles have used voice analysis to detect Parkinson's disease (PD), but few have focused on the early stages of the disease and the gender effect. In this article, we have a…
The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction
Alice Martin, Charles Ollion, Florian Strub +2
This paper introduces the Sequential Monte Carlo Transformer, an original approach that naturally captures the observations distribution in a transformer architecture. The keys, qu…
Deconvolution with unknown noise distribution is possible for multivariate signals
Elisabeth Gassiat, Sylvain Le Corff, Luc Lehéricy
This paper considers the deconvolution problem in the case where the target signal is multidimensional and no information is known about the noise distribution. More precisely, no…
Infinite-dimensional gradient-based descent for alpha-divergence minimisation
Kamélia Daudel, Randal Douc, François Portier
This paper introduces the -descent, an iterative algorithm which operates on measures and performs -divergence minimisation in a Bayesian framework. This gradient-based…