Probabilistic reconstruction of Dark Matter fields from biased tracers using diffusion models

14 November 2023

Papers citing "Probabilistic reconstruction of Dark Matter fields from biased tracers using diffusion models"

5 / 5 papers shown

Title
The CAMELS project: Expanding the galaxy formation model space with new ASTRID and 28-parameter TNG and SIMBA suites Y. Ni S. Genel D. Anglés-Alcázar F. Villaescusa-Navarro Yongseok Jo ... M. Gebhardt Helen Shao S. Pandey L. Hernquist R. Davé 52 22 0 04 Apr 2023
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence F. Villaescusa-Navarro S. Genel D. Anglés-Alcázar L. Thiele R. Davé ... Luis Fernando Machado Poletti Valle L. A. Perez D. Nagai N. Battaglia M. Vogelsberger 62 48 0 22 Sep 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 198 1,138 0 01 Jul 2021
Group Normalization Yuxin Wu Kaiming He 249 3,676 0 22 Mar 2018
Decoupled Weight Decay Regularization I. Loshchilov Frank Hutter OffRL 154 2,158 0 14 Nov 2017