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S. Mallat

51 papers hereh-index 6287.6k citations188 works total

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

author position
  • sole author2
  • first author3
  • middle author14
  • last author31

Across the 50 of 51 papers where every author was matched, so the position is known.

fields
  • cs.LG13
  • cs.CV10
  • cs.SD4
  • astro-ph.CO3
  • stat.ML3
  • eess.SP2
same name
  • S. Mallat — 1 paper, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20082023
most citedUnderstanding Deep Convolutional Networks

708 citations · 2.8k across the 48 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

eess.SP2019★ 23 cited

Maximum Entropy Models from Phase Harmonic Covariances

Sixin Zhang, Stéphane Mallat

The covariance of a stationary process X is diagonalized by a Fourier transform. It does not take into account the complex Fourier phase and defines Gaussian maximum entropy mode…

cs.LG2019★ 7 cited

Deep Network Classification by Scattering and Homotopy Dictionary Learning

John Zarka, Louis Thiry, Tomás Angles +1

We introduce a sparse scattering deep convolutional neural network, which provides a simple model to analyze properties of deep representation learning for classification. Learning…

astro-ph.CO2019★ 340 cited

The Quijote simulations

Francisco Villaescusa-Navarro, ChangHoon Hahn, Elena Massara +26

The Quijote simulations are a set of 44,100 full N-body simulations spanning more than 7,000 cosmological models in the {Ωm​,Ωb​,h,ns​,σ8​,Mν​,w} hyperplane.…

astro-ph.CO2019★ 62 cited

The RWST, a comprehensive statistical description of the non-Gaussian structures in the ISM

E. Allys, F. Levrier, S. Zhang +5

The interstellar medium (ISM) is a complex non-linear system governed by gravity and magneto-hydrodynamics, as well as radiative, thermodynamical, and chemical processes. Our under…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.