20 citations · 133 across the 20 of their papers we have counts for
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Functional renormalization group for multilinear disordered Langevin dynamics II: Revisiting the spin dynamics for Wigner and Wishart ensembles
Vincent Lahoche, Dine Ousmane Samary, Mohamed Tamaazousti
In this paper, we investigate the large-time behavior for a slightly modified version of the standard p=2 soft spins dynamics model, including a quartic or higher potential. The eq…
The Tensor Track VII: From Quantum Gravity to Artificial Intelligence
Mohamed Ouerfelli, Vincent Rivasseau, Mohamed Tamaazousti
Assuming some familiarity with quantum field theory and with the tensor track approach that one of us presented in the previous series Tensor Track I to VI, we provide, as usual, t…
Functional Renormalization Group Approach for Signal Detection
Vincent Lahoche, Dine Ousmane Samary, Mohamed Tamaazousti
This review paper uses renormalization group techniques for signal detection in nearly-continuous positive spectra. We highlight universal aspects of the analogue field-theory appr…
Deep multi-task mining Calabi-Yau four-folds
Harold Erbin, Riccardo Finotello, Robin Schneider +1
We continue earlier efforts in computing the dimensions of tangent space cohomologies of Calabi-Yau manifolds using deep learning. In this paper, we consider the dataset of all Cal…
Field theoretical approach for signal detection in nearly continuous positive spectra II: Tensorial data
Vincent Lahoche, Mohamed Ouerfelli, Dine Ousmane Samary +1
The tensorial principal component analysis is a generalization of ordinary principal component analysis, focusing on data which are suitably described by tensors rather than matric…
Signal detection in nearly continuous spectra and symmetry breaking
Vincent Lahoche, Dine Ousmane Samary, Mohamed Tamaazousti
The large scale behavior of systems having a large number of interacting degrees of freedom is suitably described using renormalization group, from non-Gaussian distributions. Reno…
Field theoretical approach for signal detection in nearly continuous positive spectra I: Matricial data
Vincent Lahoche, Dine Ousmane Samary, Mohamed Tamaazousti
Renormalization group techniques are widely used in modern physics to describe the low energy relevant aspects of systems involving a large number of degrees of freedom. Those tech…
Generalized scale behavior and renormalization group for data analysis
Vincent Lahoche, Dine Ousmane Samary, Mohamed Tamaazousti
Some recent results showed that renormalization group can be considered as a promising framework to address open issues in data analysis. In this work, we focus on one of these asp…
Constructive expansion for quartic vector fields theories. I. Low dimensions
Harold Erbin, Vincent Lahoche, Mohamed Tamaazousti
This paper is the first of a series aiming at proving rigorously the analyticity and the Borel summability of generic quartic bosonic and fermionic vector models (generalizing the…