4 citations · 8 across the 3 of their papers we have counts for
8 papers
Joint self-supervised blind denoising and noise estimation
Jean Ollion, Charles Ollion, Elisabeth Gassiat +2
We propose a novel self-supervised image blind denoising approach in which two neural networks jointly predict the clean signal and infer the noise distribution. Assuming that the…
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…
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…
A pseudo-marginal sequential Monte Carlo online smoothing algorithm
Pierre Gloaguen, Sylvain Le Corff, Jimmy Olsson
We consider online computation of expectations of additive state functionals under general path probability measures proportional to products of unnormalised transition densities.…
Identifiability and consistent estimation of nonparametric translation hidden Markov models with general state space
Elisabeth Gassiat, Sylvain Le Corff, Luc Lehéricy
This paper considers hidden Markov models where the observations are given as the sum of a latent state which lies in a general state space and some independent noise with unknown…
A Bayesian nonparametric approach for generalized Bradley-Terry models in random environment
Sylvain Le Corff, Matthieu Lerasle, Elodie Vernet
This paper deals with the estimation of the unknown distribution of hidden random variables from the observation of pairwise comparisons between these variables. This problem is in…