◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

M. Ouerfelli

5 papers hereh-index 7176 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2
  • last author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • hep-th3
  • cs.LG2

identity via Semantic Scholar / OpenAlex

activity
20202025
most citedField theoretical approach for signal detection in nearly continuous positive spectra II: Tensorial data

16 citations · 31 across the 4 of their papers we have counts for

collaborators
Showing hep-thShow all

3 papers · 1 filter

hep-th2022★ 2 cited

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…

hep-th2021★ 13 cited

Functional renormalization group for multilinear disordered Langevin dynamics I: Formalism and first numerical investigations at equilibrium

Vincent Lahoche, Dine Ousmane Samary, Mohamed Ouerfelli

This paper aims at using the functional renormalization group formalism to study the equilibrium states of a stochastic process described by a quench--disordered multilinear Langev…

hep-th2020★ 16 cited

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…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.