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333 papers · 1 filter
A Multi-Task, Multi-Modal Approach for Predicting Categorical and Dimensional Emotions
Alex-Răzvan Ispas, Théo Deschamps-Berger, Laurence Devillers
Speech emotion recognition (SER) has received a great deal of attention in recent years in the context of spontaneous conversations. While there have been notable results on datase…
Distributed convergence detection based on global residual error under asynchronous iterations
Frédéric Magoulès, Guillaume Gbikpi-Benissan
Convergence of classical parallel iterations is detected by performing a reduction operation at each iteration in order to compute a residual error relative to a potential solution…
Approximate filtering via discrete dual processes
Guillaume Kon Kam King, Andrea Pandolfi, Marco Piretto +1
We consider the task of filtering a dynamic parameter evolving as a diffusion process, given data collected at discrete times from a likelihood which is conjugate to the marginal l…
Physics-Informed Graph Convolutional Networks: Towards a generalized framework for complex geometries
Marien Chenaud, José Alves, Frédéric Magoulès
Since the seminal work of [9] and their Physics-Informed neural networks (PINNs), many efforts have been conducted towards solving partial differential equations (PDEs) with Deep L…
Mean-Covariance Steering of a Linear Stochastic System with Input Delay and Additive Noise
Gabriel Velho, Riccardo Bonalli, Jean Auriol +1
In this paper, we introduce a novel approach to solve the (mean-covariance) steering problem for a fairly general class of linear continuous-time stochastic systems subject to inpu…
Question Answering in Natural Language: the Special Case of Temporal Expressions
Armand Stricker
Although general question answering has been well explored in recent years, temporal question answering is a task which has not received as much focus. Our work aims to leverage a…