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Estimating Cosmological Parameters from the Dark Matter Distribution

Estimating Cosmological Parameters from the Dark Matter Distribution

6 November 2017
Siamak Ravanbakhsh
Junier Oliva
S. Fromenteau
Layne Price
S. Ho
J. Schneider
Barnabás Póczós
ArXiv (abs)PDFHTML

Papers citing "Estimating Cosmological Parameters from the Dark Matter Distribution"

32 / 32 papers shown
Title
Set2Seq Transformer: Temporal and Positional-Aware Set Representations for Sequential Multiple-Instance Learning
Set2Seq Transformer: Temporal and Positional-Aware Set Representations for Sequential Multiple-Instance Learning
Athanasios Efthymiou
Stevan Rudinac
Monika Kackovic
Nachoem Wijnberg
Marcel Worring
ViT
95
0
0
06 Aug 2024
Convolutional Networks with Oriented 1D Kernels
Convolutional Networks with Oriented 1D Kernels
Alexandre Kirchmeyer
Jia Deng
106
5
0
27 Sep 2023
Learning from Topology: Cosmological Parameter Estimation from the Large-scale Structure
Learning from Topology: Cosmological Parameter Estimation from the Large-scale Structure
Jacky H. T. Yip
Adam Rouhiainen
G. Shiu
93
2
0
04 Aug 2023
Learnable wavelet neural networks for cosmological inference
Learnable wavelet neural networks for cosmological inference
Christian Pedersen
Michael Eickenberg
S. Ho
54
3
0
24 Jul 2023
$E(2)$-Equivariant Vision Transformer
E(2)E(2)E(2)-Equivariant Vision Transformer
Renjun Xu
Kaifan Yang
Ke Liu
Fengxiang He
ViTMDE
84
11
0
11 Jun 2023
Constraining cosmological parameters from N-body simulations with
  Variational Bayesian Neural Networks
Constraining cosmological parameters from N-body simulations with Variational Bayesian Neural Networks
Héctor J. Hortúa
L. '. García
Leonardo Castañeda C.
BDL
53
4
0
09 Jan 2023
SAIH: A Scalable Evaluation Methodology for Understanding AI Performance
  Trend on HPC Systems
SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems
Jiangsu Du
Dongsheng Li
Yingpeng Wen
Jiazhi Jiang
Dan Huang
Xia Liao
Yutong Lu
62
1
0
07 Dec 2022
New Metric Formulas that Include Measurement Errors in Machine Learning
  for Natural Sciences
New Metric Formulas that Include Measurement Errors in Machine Learning for Natural Sciences
Umberto Michelucci
F. Venturini
36
5
0
30 Sep 2022
The Cosmic Graph: Optimal Information Extraction from Large-Scale
  Structure using Catalogues
The Cosmic Graph: Optimal Information Extraction from Large-Scale Structure using Catalogues
T. Lucas Makinen
Tom Charnock
Pablo Lemos
Natalia Porqueres
A. Heavens
Benjamin Dan Wandelt
63
30
0
11 Jul 2022
Multifield Cosmology with Artificial Intelligence
Multifield Cosmology with Artificial Intelligence
F. Villaescusa-Navarro
D. Anglés-Alcázar
S. Genel
D. Spergel
Yin Li
...
Sultan Hassan
J. Z. Matilla
D. Narayanan
R. Davé
M. Vogelsberger
AI4CE
77
20
0
20 Sep 2021
SPANet: Generalized Permutationless Set Assignment for Particle Physics
  using Symmetry Preserving Attention
SPANet: Generalized Permutationless Set Assignment for Particle Physics using Symmetry Preserving Attention
Alexander Shmakov
M. Fenton
Ta-Wei Ho
Shih-Chieh Hsu
D. Whiteson
Pierre Baldi
30
33
0
07 Jun 2021
Recent advances in deep learning theory
Recent advances in deep learning theory
Fengxiang He
Dacheng Tao
AI4CE
132
51
0
20 Dec 2020
Classification and reconstruction of optical quantum states with deep
  neural networks
Classification and reconstruction of optical quantum states with deep neural networks
Shahnawaz Ahmed
C. Muñoz
Franco Nori
A. F. Kockum
88
64
0
03 Dec 2020
Deep learning insights into cosmological structure formation
Deep learning insights into cosmological structure formation
Luisa Lucie-Smith
H. Peiris
A. Pontzen
Brian D. Nord
Jeyan Thiyagalingam
65
6
0
20 Nov 2020
The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs
  with Hybrid Parallelism
The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism
Yosuke Oyama
N. Maruyama
Nikoli Dryden
Erin McCarthy
P. Harrington
J. Balewski
Satoshi Matsuoka
Peter Nugent
B. Van Essen
3DVAI4CE
71
37
0
25 Jul 2020
Foreground model recognition through Neural Networks for CMB B-mode
  observations
Foreground model recognition through Neural Networks for CMB B-mode observations
F. Farsian
N. Krachmalnicoff
C. Baccigalupi
121
15
0
04 Mar 2020
Baryon acoustic oscillations reconstruction using convolutional neural
  networks
Baryon acoustic oscillations reconstruction using convolutional neural networks
Tianxiang Mao
Jie-Shuang Wang
Baojiu Li
Yan-Chuan Cai
B. Falck
M. Neyrinck
A. Szalay
57
13
0
24 Feb 2020
Representation Learning with Multisets
Representation Learning with Multisets
Vasco Portilheiro
SSL
39
0
0
19 Nov 2019
Improved Generalization Bounds of Group Invariant / Equivariant Deep
  Networks via Quotient Feature Spaces
Improved Generalization Bounds of Group Invariant / Equivariant Deep Networks via Quotient Feature Spaces
Akiyoshi Sannai
Masaaki Imaizumi
M. Kawano
MLT
55
31
0
15 Oct 2019
Learning neutrino effects in Cosmology with Convolutional Neural
  Networks
Learning neutrino effects in Cosmology with Convolutional Neural Networks
E. Giusarma
M. Reyes
F. Villaescusa-Navarro
Siyu He
S. Ho
C. Hahn
53
14
0
09 Oct 2019
HPC AI500: A Benchmark Suite for HPC AI Systems
HPC AI500: A Benchmark Suite for HPC AI Systems
Zihan Jiang
Wanling Gao
Lei Wang
Xingwang Xiong
Yuchen Zhang
...
Yunquan Zhang
Shengzhong Feng
KenLi Li
Weijia Xu
Jianfeng Zhan
ELM
68
40
0
27 Jul 2019
HIGAN: Cosmic Neutral Hydrogen with Generative Adversarial Networks
HIGAN: Cosmic Neutral Hydrogen with Generative Adversarial Networks
Juan Zamudio-Fernandez
Atakan Okan
F. Villaescusa-Navarro
S. Bilaloglu
Asena Derin Cengiz
Siyu He
Laurence Perreault Levasseur
S. Ho
GAN
50
20
0
29 Apr 2019
From Dark Matter to Galaxies with Convolutional Networks
From Dark Matter to Galaxies with Convolutional Networks
Xinyue Zhang
Yanfang Wang
Wei Zhang
Yueqiu Sun
Siyu He
Gabriella Contardo
F. Villaescusa-Navarro
S. Ho
OOD
89
43
0
15 Feb 2019
Learning to Predict the Cosmological Structure Formation
Learning to Predict the Cosmological Structure Formation
Siyu He
Yin Li
Yu Feng
S. Ho
Siamak Ravanbakhsh
Wei Chen
Barnabás Póczós
92
172
0
15 Nov 2018
Theoretical and Experimental Analysis on the Generalizability of
  Distribution Regression Network
Theoretical and Experimental Analysis on the Generalizability of Distribution Regression Network
C. Kou
H. Lee
Jorge Sanz
Teck Khim Ng
43
0
0
05 Nov 2018
DeepSphere: Efficient spherical Convolutional Neural Network with
  HEALPix sampling for cosmological applications
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications
Nathanael Perraudin
M. Defferrard
T. Kacprzak
R. Sgier
102
172
0
29 Oct 2018
DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with
  Deep Neural Networks
DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks
J. Caldeira
W. L. K. Wu
Brian D. Nord
Camille Avestruz
Shubhendu Trivedi
K. Story
101
66
0
02 Oct 2018
CosmoFlow: Using Deep Learning to Learn the Universe at Scale
CosmoFlow: Using Deep Learning to Learn the Universe at Scale
Amrita Mathuriya
Deborah Bard
P. Mendygral
Lawrence Meadows
James A. Arnemann
...
Nalini Kumar
S. Ho
Michael F. Ringenburg
P. Prabhat
Victor W. Lee
AI4CE
96
126
0
14 Aug 2018
Backdrop: Stochastic Backpropagation
Backdrop: Stochastic Backpropagation
Siavash Golkar
Kyle Cranmer
52
2
0
04 Jun 2018
A volumetric deep Convolutional Neural Network for simulation of mock
  dark matter halo catalogues
A volumetric deep Convolutional Neural Network for simulation of mock dark matter halo catalogues
P. Berger
G. Stein
77
38
0
11 May 2018
Fast cosmic web simulations with generative adversarial networks
Fast cosmic web simulations with generative adversarial networks
Andrés C. Rodríguez
T. Kacprzak
Aurelien Lucchi
A. Amara
R. Sgier
J. Fluri
Thomas Hofmann
Alexandre Réfrégier
GANAI4CE
115
90
0
27 Jan 2018
Deep Sets
Deep Sets
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
481
2,485
0
10 Mar 2017
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