Search Results for author: Antoine Brochard

Found 5 papers, 3 papers with code

Generalized Rectifier Wavelet Covariance Models For Texture Synthesis

1 code implementation ICLR 2022 Antoine Brochard, Sixin Zhang, Stéphane Mallat

State-of-the-art maximum entropy models for texture synthesis are built from statistics relying on image representations defined by convolutional neural networks (CNN).

Texture Synthesis

Particle gradient descent model for point process generation

2 code implementations27 Oct 2020 Antoine Brochard, Bartłomiej Błaszczyszyn, Stéphane Mallat, Sixin Zhang

This paper presents a statistical model for stationary ergodic point processes, estimated from a single realization observed in a square window.

Point Processes Topological Data Analysis

The Quijote simulations

3 code implementations11 Sep 2019 Francisco Villaescusa-Navarro, ChangHoon Hahn, Elena Massara, Arka Banerjee, Ana Maria Delgado, Doogesh Kodi Ramanah, Tom Charnock, Elena Giusarma, Yin Li, Erwan Allys, Antoine Brochard, Chi-Ting Chiang, Siyu He, Alice Pisani, Andrej Obuljen, Yu Feng, Emanuele Castorina, Gabriella Contardo, Christina D. Kreisch, Andrina Nicola, Roman Scoccimarro, Licia Verde, Matteo Viel, Shirley Ho, Stephane Mallat, Benjamin Wandelt, David N. Spergel

The Quijote simulations are a set of 44, 100 full N-body simulations spanning more than 7, 000 cosmological models in the $\{\Omega_{\rm m}, \Omega_{\rm b}, h, n_s, \sigma_8, M_\nu, w \}$ hyperplane.

Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics

Statistical learning of geometric characteristics of wireless networks

no code implementations19 Dec 2018 Antoine Brochard, Bartłomiej Błaszczyszyn, Stéphane Mallat, Sixin Zhang

To approximate (interpolate) the marking function, in our baseline approach, we build a statistical regression model of the marks with respect some local point distance representation.

Point Processes regression

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