Learning to Predict the Cosmological Structure Formation

15 November 2018

Papers citing "Learning to Predict the Cosmological Structure Formation"

48 / 48 papers shown

Title
Machine Learning Aided Modeling of Granular Materials: A Review Mengqi Wang Krishna Kumar Y. T. Feng Tongming Qu Min Wang AI4CE 31 4 0 18 Oct 2024
Accelerating Giant Impact Simulations with Machine Learning Caleb Lammers M. Cranmer Sam Hadden Shirley Ho Norman Murray Daniel Tamayo 13 0 0 16 Aug 2024
How to Do Machine Learning with Small Data? -- A Review from an Industrial Perspective I. Kraljevski Yong Chul Ju Dmitrij Ivanov Constanze Tschope M. Wolff AI4CE 30 4 0 13 Nov 2023
Multiple Physics Pretraining for Physical Surrogate Models Michael McCabe Bruno Régaldo-Saint Blancard Liam Parker Ruben Ohana M. Cranmer ... Francois Lanusse Mariel Pettee Tiberiu Teşileanu Kyunghyun Cho Shirley Ho PINN AI4CE 40 53 0 04 Oct 2023
Renormalizing Diffusion Models Jordan S. Cotler Semon Rezchikov DiffM AI4CE 37 11 0 23 Aug 2023
Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence Anna Dawid Yann LeCun DRL 29 30 0 05 Jun 2023
Predicting the Initial Conditions of the Universe using a Deterministic Neural Network Vaibhav Jindal Albert Liang Aarti Singh Shirley Ho Drew Jamieson AI4CE 20 2 0 23 Mar 2023
Non-separable Covariance Kernels for Spatiotemporal Gaussian Processes based on a Hybrid Spectral Method and the Harmonic Oscillator D. Hristopulos 19 4 0 19 Feb 2023
Learning Modular Simulations for Homogeneous Systems Jayesh K. Gupta Sai H. Vemprala Ashish Kapoor 25 6 0 28 Oct 2022
Galaxy Spin Classification I: Z-wise vs S-wise Spirals With Chirality Equivariant Residual Network He Jia Hong-Ming Zhu U. Pen 22 5 0 09 Oct 2022
Hybrid Physical-Neural ODEs for Fast N-body Simulations Denise Lanzieri F. Lanusse Jean-Luc Starck 11 7 0 12 Jul 2022
Field Level Neural Network Emulator for Cosmological N-body Simulations Drew Jamieson Yin Li Renan Alves de Oliveira F. Villaescusa-Navarro S. Ho D. Spergel 18 27 0 09 Jun 2022
Simple lessons from complex learning: what a neural network model learns about cosmic structure formation Drew Jamieson Yin Li Siyu He F. Villaescusa-Navarro S. Ho R. A. Oliveira D. Spergel 19 4 0 09 Jun 2022
Dimensionless machine learning: Imposing exact units equivariance Soledad Villar Weichi Yao D. Hogg Ben Blum-Smith Bianca Dumitrascu 23 26 0 02 Apr 2022
Machine Learning and Cosmology C. Dvorkin S. Mishra-Sharma Brian D. Nord V. A. Villar Camille Avestruz ... A. Ćiprijanović Andrew J. Connolly L. Garrison G. Narayan F. Villaescusa-Navarro AI4CE 29 12 0 15 Mar 2022
Simulating Liquids with Graph Networks Jonathan Klimesch Philipp Holl Nils Thuerey GNN AI4CE 27 8 0 14 Mar 2022
Rediscovering orbital mechanics with machine learning Pablo Lemos N. Jeffrey M. Cranmer S. Ho Peter W. Battaglia PINN AI4CE 22 87 0 04 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 78 43 0 01 Feb 2022
Augmenting astrophysical scaling relations with machine learning: application to reducing the Sunyaev-Zeldovich flux-mass scatter D. Wadekar L. Thiele F. Villaescusa-Navarro J. Hill M. Cranmer D. Spergel N. Battaglia D. Anglés-Alcázar L. Hernquist S. Ho 43 12 0 04 Jan 2022
The CAMELS project: public data release F. Villaescusa-Navarro S. Genel D. Anglés-Alcázar L. A. Perez Pablo Villanueva-Domingo ... M. Viel Yin Li V. Iršič K. Kraljic M. Vogelsberger 12 32 0 04 Jan 2022
Learning from learning machines: a new generation of AI technology to meet the needs of science L. Pion-Tonachini K. Bouchard Héctor García Martín S. Peisert W. B. Holtz ... Rick L. Stevens Mark Anderson Ken Kreutz-Delgado Michael W. Mahoney James B. Brown 38 7 0 27 Nov 2021
Fast and Credible Likelihood-Free Cosmology with Truncated Marginal Neural Ratio Estimation A. Cole Benjamin Kurt Miller S. Witte Maxwell X. Cai M. Grootes F. Nattino Christoph Weniger 36 40 0 15 Nov 2021
Super-resolving Dark Matter Halos using Generative Deep Learning David Schaurecker Yin Li J. Tinker S. Ho Alexandre Réfrégier GAN AI4CE 22 6 0 11 Nov 2021
Likelihood-Free Inference in State-Space Models with Unknown Dynamics Alexander Aushev Thong Tran Henri Pesonen Andrew Howes Samuel Kaski 28 1 0 02 Nov 2021
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 27 47 0 22 Sep 2021
AI-assisted super-resolution cosmological simulations II: Halo substructures, velocities and higher order statistics Y. Ni Yin Li Patrick Lachance R. Croft T. Di Matteo Simeon Bird Yu Feng 16 16 0 03 May 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 43 318 0 22 Feb 2021
Deep learning insights into cosmological structure formation Luisa Lucie-Smith H. Peiris A. Pontzen Brian D. Nord Jeyan Thiyagalingam 24 6 0 20 Nov 2020
NeuralSim: Augmenting Differentiable Simulators with Neural Networks Eric Heiden David Millard Erwin Coumans Yizhou Sheng Gaurav Sukhatme 24 137 0 09 Nov 2020
deep21: a Deep Learning Method for 21cm Foreground Removal T. Lucas Makinen Lachlan Lancaster F. Villaescusa-Navarro Peter Melchior S. Ho Laurence Perreault Levasseur D. Spergel 3DPC 30 28 0 29 Oct 2020
AI-assisted super-resolution cosmological simulations Yin Li Y. Ni R. Croft T. Di Matteo Simeon Bird Yu Feng 18 46 0 13 Oct 2020
Learning effective physical laws for generating cosmological hydrodynamics with Lagrangian Deep Learning B. Dai U. Seljak PINN AI4CE 17 28 0 06 Oct 2020
Quasar Detection using Linear Support Vector Machine with Learning From Mistakes Methodology A. Herle Janamejaya Channegowda Dinakar Prabhu 14 2 0 01 Oct 2020
Augmenting Differentiable Simulators with Neural Networks to Close the Sim2Real Gap Eric Heiden David Millard Erwin Coumans Gaurav Sukhatme 19 21 0 12 Jul 2020
Emulation of cosmological mass maps with conditional generative adversarial networks Nathanael Perraudin Sandro Marcon Aurelien Lucchi T. Kacprzak GAN 8 11 0 17 Apr 2020
Inpainting via Generative Adversarial Networks for CMB data analysis A. V. Sadr F. Farsian 16 3 0 08 Apr 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 17 12 0 24 Feb 2020
Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez Jonathan Godwin Tobias Pfaff Rex Ying J. Leskovec Peter W. Battaglia PINN AI4CE 53 1,053 0 21 Feb 2020
Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics David Millard Eric Heiden Shubham Agrawal Gaurav Sukhatme AI4CE 27 13 0 22 Jan 2020
Solving inverse-PDE problems with physics-aware neural networks Samira Pakravan Pouria A. Mistani M. Aragon-Calvo Frédéric Gibou AI4CE 28 50 0 10 Jan 2020
Parameters Estimation for the Cosmic Microwave Background with Bayesian Neural Networks Héctor J. Hortúa Riccardo Volpi D. Marinelli Luigi Malagò BDL 13 22 0 19 Nov 2019
Learning neutrino effects in Cosmology with Convolutional Neural Networks E. Giusarma M. Reyes F. Villaescusa-Navarro Siyu He S. Ho C. Hahn 14 14 0 09 Oct 2019
Cosmological N-body simulations: a challenge for scalable generative models Nathanael Perraudin Ankit Srivastava Aurelien Lucchi T. Kacprzak Thomas Hofmann Alexandre Réfrégier 6 32 0 15 Aug 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 12 20 0 29 Apr 2019
Painting with baryons: augmenting N-body simulations with gas using deep generative models T. Tröster C. Ferguson J. Harnois-Déraps I. McCarthy AI4CE 21 49 0 28 Mar 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 27 43 0 15 Feb 2019
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 241 439 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 283 1,401 0 01 Dec 2016