Search Results for author: Thibault Lesieur

Found 6 papers, 2 papers with code

Adversarial training for predictive tasks: theoretical analysis and limitations in the deterministic case

no code implementations2 Nov 2020 Thibault Lesieur, Jérémie Messud, Issa Hammoud, Hanyuan Peng, Céline Lacombe, Paulien Jeunesse

To train a deep neural network to mimic the outcomes of processing sequences, a version of Conditional Generalized Adversarial Network (CGAN) can be used.

Adversarial training for predictive tasks: theoretical analysis and limitations in the deterministic case.

no code implementations NeurIPS Workshop ICBINB 2020 Thibault Lesieur, Jérémie Messud, Issa Hammoud, Hanyuan Peng, Céline Lacombe, Paulien Jeunesse

To train a deep neural network to mimic the outcomes of processing sequences, a version of Conditional Generalized Adversarial Network (CGAN) can be used.

Phase transitions and optimal algorithms in high-dimensional Gaussian mixture clustering

no code implementations10 Oct 2016 Thibault Lesieur, Caterina De Bacco, Jess Banks, Florent Krzakala, Cris Moore, Lenka Zdeborová

We consider the problem of Gaussian mixture clustering in the high-dimensional limit where the data consists of $m$ points in $n$ dimensions, $n, m \rightarrow \infty$ and $\alpha = m/n$ stays finite.

MMSE of probabilistic low-rank matrix estimation: Universality with respect to the output channel

1 code implementation14 Jul 2015 Thibault Lesieur, Florent Krzakala, Lenka Zdeborová

This paper considers probabilistic estimation of a low-rank matrix from non-linear element-wise measurements of its elements.

Stochastic Block Model

Phase Transitions in Sparse PCA

1 code implementation1 Mar 2015 Thibault Lesieur, Florent Krzakala, Lenka Zdeborova

We study optimal estimation for sparse principal component analysis when the number of non-zero elements is small but on the same order as the dimension of the data.

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