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DeepLSS: breaking parameter degeneracies in large scale structure with
  deep learning analysis of combined probes

DeepLSS: breaking parameter degeneracies in large scale structure with deep learning analysis of combined probes

17 March 2022
T. Kacprzak
J. Fluri
ArXivPDFHTML

Papers citing "DeepLSS: breaking parameter degeneracies in large scale structure with deep learning analysis of combined probes"

8 / 8 papers shown
Title
Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects
Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects
Natalí S. M. de Santi
F. Villaescusa-Navarro
L. Abramo
Helen Shao
Lucia A. Perez
...
F. Marinacci
D. Spergel
K. Dolag
L. Hernquist
M. Vogelsberger
206
5
0
28 Jan 2025
AutoClip: Adaptive Gradient Clipping for Source Separation Networks
AutoClip: Adaptive Gradient Clipping for Source Separation Networks
Prem Seetharaman
Gordon Wichern
Bryan Pardo
Jonathan Le Roux
53
33
0
25 Jul 2020
Gaussian Process Conditional Density Estimation
Gaussian Process Conditional Density Estimation
Vincent Dutordoir
Hugh Salimbeni
M. Deisenroth
J. Hensman
115
52
0
30 Oct 2018
Depthwise Separable Convolutions for Neural Machine Translation
Depthwise Separable Convolutions for Neural Machine Translation
Lukasz Kaiser
Aidan Gomez
François Chollet
66
279
0
09 Jun 2017
Masked Autoregressive Flow for Density Estimation
Masked Autoregressive Flow for Density Estimation
George Papamakarios
Theo Pavlakou
Iain Murray
173
1,349
0
19 May 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.9K
193,426
0
10 Dec 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
emcee: The MCMC Hammer
emcee: The MCMC Hammer
D. Foreman-Mackey
D. Hogg
D. Lang
J. Goodman
84
8,485
0
16 Feb 2012
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