12 citations · 19 across the 5 of their papers we have counts for
6 papers
Last layer state space model for representation learning and uncertainty quantification
Max Cohen, Maurice Charbit, Sylvain Le Corff
As sequential neural architectures become deeper and more complex, uncertainty estimation is more and more challenging. Efforts in quantifying uncertainty often rely on specific tr…
Variational latent discrete representation for time series modelling
Max Cohen, Maurice Charbit, Sylvain Le Corff
Discrete latent space models have recently achieved performance on par with their continuous counterparts in deep variational inference. While they still face various implementatio…
End-to-end deep meta modelling to calibrate and optimize energy consumption and comfort
Max Cohen, Sylvain Le Corff, Maurice Charbit +2
In this paper, we propose a new end-to-end methodology to optimize the energy performance as well as comfort and air quality in large buildings without any renovation work. We intr…
End-to-end deep metamodeling to calibrate and optimize energy loads
Max Cohen, Maurice Charbit, Sylvain Le Corff +2
In this paper, we propose a new end-to-end methodology to optimize the energy performance and the comfort, air quality and hygiene of large buildings. A metamodel based on a Transf…
3D Face Pose and Animation Tracking via Eigen-Decomposition based Bayesian Approach
Ngoc-Trung Tran, Fakhr-Eddine Ababsa, Maurice Charbit +3
This paper presents a new method to track both the face pose and the face animation with a monocular camera. The approach is based on the 3D face model CANDIDE and on the SIFT (Sca…
OMP-type Algorithm with Structured Sparsity Patterns for Multipath Radar Signals
Tabea Rebafka, Céline Lévy-Leduc, Maurice Charbit
A transmitted, unknown radar signal is observed at the receiver through more than one path in additive noise. The aim is to recover the waveform of the intercepted signal and to si…