Estimating Cosmological Parameters from the Dark Matter Distribution

6 November 2017

Junier Oliva

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 Athanasios Efthymiou Stevan Rudinac Monika Kackovic Nachoem Wijnberg Marcel Worring ViT 95 0 0 06 Aug 2024
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 Jacky H. T. Yip Adam Rouhiainen G. Shiu 93 2 0 04 Aug 2023
Learnable wavelet neural networks for cosmological inference Christian Pedersen Michael Eickenberg S. Ho 54 3 0 24 Jul 2023
$E(2)$ -Equivariant Vision Transformer Renjun Xu Kaifan Yang Ke Liu Fengxiang He ViT MDE 84 11 0 11 Jun 2023
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 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 Umberto Michelucci F. Venturini 36 5 0 30 Sep 2022
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 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 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 Fengxiang He Dacheng Tao AI4CE 132 51 0 20 Dec 2020
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 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 Yosuke Oyama N. Maruyama Nikoli Dryden Erin McCarthy P. Harrington J. Balewski Satoshi Matsuoka Peter Nugent B. Van Essen 3DV AI4CE 71 37 0 25 Jul 2020
Foreground model recognition through Neural Networks for CMB B-mode observations F. Farsian N. Krachmalnicoff C. Baccigalupi 114 15 0 04 Mar 2020
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 Vasco Portilheiro SSL 39 0 0 19 Nov 2019
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 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 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 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 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 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 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 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 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 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 Siavash Golkar Kyle Cranmer 52 2 0 04 Jun 2018
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 Andrés C. Rodríguez T. Kacprzak Aurelien Lucchi A. Amara R. Sgier J. Fluri Thomas Hofmann Alexandre Réfrégier GAN AI4CE 115 90 0 27 Jan 2018
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 481 2,485 0 10 Mar 2017