Search Results for author: Sylvain Le Corff

Found 8 papers, 4 papers with code

NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform

1 code implementation NeurIPS 2021 Achille Thin, Yazid Janati El Idrissi, Sylvain Le Corff, Charles Ollion, Eric Moulines, Arnaud Doucet, Alain Durmus, Christian Robert

Sampling from a complex distribution $\pi$ and approximating its intractable normalizing constant $\mathrm{Z}$ are challenging problems.

Learning Natural Language Generation from Scratch

no code implementations20 Sep 2021 Alice Martin Donati, Guillaume Quispe, Charles Ollion, Sylvain Le Corff, Florian Strub, Olivier Pietquin

This paper introduces TRUncated ReinForcement Learning for Language (TrufLL), an original ap-proach to train conditional language models from scratch by only using reinforcement learning (RL).

Language Modelling Text Generation

NEO: Non Equilibrium Sampling on the Orbit of a Deterministic Transform

1 code implementation17 Mar 2021 Achille Thin, Yazid Janati, Sylvain Le Corff, Charles Ollion, Arnaud Doucet, Alain Durmus, Eric Moulines, Christian Robert

Sampling from a complex distribution $\pi$ and approximating its intractable normalizing constant Z are challenging problems.

Joint self-supervised blind denoising and noise estimation

1 code implementation16 Feb 2021 Jean Ollion, Charles Ollion, Elisabeth Gassiat, Luc Lehéricy, Sylvain Le Corff

Assuming that the noisy observations are independent conditionally to the signal, the networks can be jointly trained without clean training data.

Image Denoising Noise Estimation

End-to-end deep meta modelling to calibrate and optimize energy consumption and comfort

no code implementations1 Feb 2021 Max Cohen, Sylvain Le Corff, Maurice Charbit, Marius Preda, Gilles Nozière

Parameters are estimated by comparing the predictions of the metamodel with real data obtained from sensors using the CMA-ES algorithm, a derivative free optimization procedure.

The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction

no code implementations15 Jul 2020 Alice Martin, Charles Ollion, Florian Strub, Sylvain Le Corff, Olivier Pietquin

This paper introduces the Sequential Monte Carlo Transformer, an original approach that naturally captures the observations distribution in a transformer architecture.

End-to-end deep metamodeling to calibrate and optimize energy loads

no code implementations19 Jun 2020 Max Cohen, Maurice Charbit, Sylvain Le Corff, Marius Preda, Gilles Nozière

Finally, the optimal settings to minimize the energy loads while maintaining a target thermal comfort and air quality are obtained using a multi-objective optimization procedure.

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