AB
Adrian E. Bayer
astro-ph.COastro-ph.IMastro-ph.GAcs.CLcs.LGphysics.data-anastro-ph.HEgr-qcstat.MEastro-ph.EP
On Valency
published · living versionsW_yqqh76nu·v1 · currentpublished
FastPM: Fast Pretrained Model for Cosmological Simulation-Based Inference
with Masaya Yamamoto
1 version
Preprints & journals
27 papers in the corpus · 2018–2026Surveying the Universe in 4D: Beating Cosmic Variance with Wide-Field Slitless Spectroscopy from HST, JWST, Euclid, Roman, and Beyond2609.23148v1 · Andreea Petric, Gael Noirot, Stacey Alberts et al.2026 · 0 citationsarXiv
AI's Capability in Assisting Scientific Research in Physics, Astrophysics, and Cosmology I: Literature Review2607.25672v1 · Anamaria Hell, Kateryna Vovk, Veena Krishnaraj et al.2026 · 0 citationsarXiv
AI's Capability in Assisting Scientific Research in Physics, Astrophysics, and Cosmology II: Project Planning and Proposal Evaluation2607.25881v1 · Jia Liu, Veena Krishnaraj, Kateryna Vovk et al.2026 · 0 citationsarXiv
Robust CMB B-mode analysis with Needlet-ILC and simulation-based inference2512.16869v1 · Adriaan J. Duivenvoorden, Kristen Surrao, Adrian E. Bayer et al.2025 · 1 citationarXiv
Impact of Simulation Box Size for Weak Lensing: Replication and Super-Sample Effects2511.20423v1 · Akira Tokiwa, Adrian E. Bayer, Joaquin Armijo et al.2025 · 0 citationsarXiv
The Denario project: Deep knowledge AI agents for scientific discovery2510.26887v1 · Francisco Villaescusa-Navarro, Boris Bolliet, Pablo Villanueva-Domingo et al.2025 · 1 citationPRX Intelligence 1, 021001 (2026)
Transfer Learning Beyond the Standard Model2510.19168v1 · Veena Krishnaraj, Adrian E. Bayer, Christian Kragh Jespersen et al.2025 · 0 citationsJCAP06(2026)026
Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI2507.00514v1 · Leander Thiele, Adrian E. Bayer, Naoya Takeishi2025 · 0 citationsarXiv
Field-Level Comparison and Robustness Analysis of Cosmological N-body Simulations2505.13620v2 · Adrian E. Bayer, Francisco Villaescusa-Navarro, Sammy Sharief et al.2025 · 3 citationsApJ 989 207 (2025)
Interpreting Cosmological Information from Neural Networks in the Hydrodynamic Universe2504.17839v2 · Arnab Lahiry, Adrian E. Bayer, Francisco Villaescusa-Navarro2025 · 3 citationsAstrophys. J. 994 129 (2025)
The Power of the Cosmic Web2503.11778v2 · James Sunseri, Adrian E. Bayer, Jia Liu2025 · 6 citationsPhys. Rev. D 112, 063516, 2025
Massive s through the CNN lens: interpreting the field-level neutrino mass information in weak lensing2410.00914v3 · Malika Golshan, Adrian E. Bayer2024 · 6 citationsJCAP05(2025)024
Simulation-Based Inference Benchmark for Weak Lensing Cosmology2409.17975v2 · Justine Zeghal, Denise Lanzieri, Francois Lanusse et al.2024 · 11 citationsA&A 699, A327 (2025)
CHARM: Creating Halos with Auto-Regressive Multi-stage networks2409.09124v1 · Shivam Pandey, Chirag Modi, Benjamin D. Wandelt et al.2024 · 1 citationarXiv
The HalfDome Multi-Survey Cosmological Simulations: N-body Simulations2407.17462v2 · Adrian E. Bayer, Yici Zhong, Zack Li et al.2024 · 8 citationsJCAP05(2025)016
Periodicity significance testing with null-signal templates: reassessment of PTF's SMBH binary candidates2407.17565v1 · Jakob Robnik, Adrian E. Bayer, Maria Charisi et al.2024 · 14 citationsarXiv
Significance of void shape: Neutrino mass from Voronoi void halos?2405.12302v2 · Adrian E. Bayer, Jia Liu, Christina D. Kreisch et al.2024 · 8 citationsPhys. Rev. D 110, L061305 (2024)
Field-Level Inference with Microcanonical Langevin Monte Carlo2307.09504v1 · Adrian E. Bayer, Uros Seljak, Chirag Modi2023 · 8 citationsarXiv
Super-sample covariance of the power spectrum, bispectrum, halos, voids, and their cross covariances2210.15647v2 · Adrian E. Bayer, Jia Liu, Ryo Terasawa et al.2022 · 18 citationsPhys. Rev. D 108, 043521 (2023)
Joint velocity and density reconstruction of the Universe with nonlinear differentiable forward modeling2210.15649v2 · Adrian E. Bayer, Chirag Modi, Simone Ferraro2022 · 24 citationsJCAP 06 (2023) 046
The DESI -body Simulation Project -- II. Suppressing sample variance with fast simulations2202.06074v2 · Zhejie Ding, Chia-Hsun Chuang, Yu Yu et al.2022 · 25 citationsarXiv
Self-Calibrating the Look-Elsewhere Effect: Fast Evaluation of the Statistical Significance Using Peak Heights2108.06333v1 · Adrian E. Bayer, Uros Seljak, Jakob Robnik2021 · 6 citationsarXiv
Beware of Fake s: The Effect of Massive Neutrinos on the Nonlinear Evolution of Cosmic Structure2108.04215v2 · Adrian E. Bayer, Arka Banerjee, Uros Seljak2021 · 34 citationsPhys. Rev. D 105, 123510 (2022)
The GIGANTES dataset: precision cosmology from voids in the machine learning era2107.02304v2 · Christina D. Kreisch, Alice Pisani, Francisco Villaescusa-Navarro et al.2021 · 71 citationsarXiv
Detecting Neutrino Mass by Combining Matter Clustering, Halos, and Voids2102.05049v2 · Adrian E. Bayer, Francisco Villaescusa-Navarro, Elena Massara et al.2021 · 83 citationsApJ 919 1 24 (2021)
A fast particle-mesh simulation of non-linear cosmological structure formation with massive neutrinos2007.13394v2 · Adrian E. Bayer, Arka Banerjee, Yu Feng2020 · 41 citationsJCAP 01 (2021) 016
Study and mitigation of spurious electron emission from cathodic wires in noble liquid time projection chambers1801.07231v2 · A. Tom'as, H. M. Ara'ujo, A. J. Bailey et al.2018 · 27 citationsAstropart.Phys. 103 (2018) 49-61
Career total: at least 30 works. 27 are in this corpus.
Profile built from the corpus for this byline.
Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.