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29 papers2 papers in the last four weeks, down 33% on the four weeks before. 0.0% of all new papers.

  1. Analysis of Binary O-type Star Systems Using Recurrent Neural Networks

    Oct 16, 2026Miguel Flores R., Luis J. Corral, Celia R. Fierro-Santillán +1Astrophysics

    Centro Universitario de Ciencias Económico Administrativas (CUCEA), Universidad de Guadalajara, 45100 Zapopan, Jal., Mexico · Escuela Nacional Colegio de Ciencias y Humanidades, Plantel Sur (ENCCH Sur), Universidad Nacional Autónoma de México (UNAM), 04500, Mexico City, Mexico

  2. Gestalt: a meta-foundation model for astronomy

    Sep 29, 2026Michael J. Smith, Shashwat SouravEnsemble LearningAI-Assisted Scientific Research

    AstroAI · Center for Astrophysics | Harvard & Smithsonian · UniverseTBD +1

  3. Inductive Biases in Field-Level Cosmological Inference from Galaxy Catalogs

    Sep 8, 2026James O. Baldwin, Shy Genel, Francisco Villaescusa-NavarroSimulation-Based InferenceGraph Neural Networks

    City University of New York Graduate Center, 365 5th Ave, New York, NY 10016 · Center for Computational Astrophysics, Flatiron Institute, 162 5th Avenue, New York, NY 10010, USA · Columbia Astrophysics Laboratory, Columbia University, 550 West 120th Street, New York, NY 10027, USA +1

  4. AstroSpecLM: A Spectrum-Language Model for Evidence-Grounded Astronomical Spectral Analysis

    Sep 7, 2026Jinghang Shi, Yanxia Zhang, Ali Luo +2Language ModelingScientific QA

  5. EncoTESS: Age-Sensitive Encodings from Raw TESS Light Curves

    Aug 25, 2026Phil R. Van-Lane, Joshua S. Speagle, Ryan Cloutier +3AstrophysicsTime Series Representation Learning

    David A. Dunlap Department of Astronomy and Astrophysics, University of Toronto · Dunlap Institute for Astronomy and Astrophysics, University of Toronto · Department of Astronomy and Astrophysics, University of California San Diego +11

  6. AI's Capability in Assisting Scientific Research in Physics, Astrophysics, and Cosmology I: Literature Review

    Jul 28, 2026Anamaria Hell, Kateryna Vovk, Veena Krishnaraj +18AstrophysicsAI-Assisted Scientific Research

    IPMU

  7. Co-addition and Subtraction of Undersampled Images

    Jul 20, 2026Matan Schlanger, Barak ZackayImage ReconstructionAstrophysics

    Department of Particle Physics and Astrophysics Weizmann Institute of Science 76100 Rehovot, Israel

  8. ReLaTS: a Reinforcement Learning-based method for dynamically determining the coupling Time Step in multi-scale simulations of self-gravitating systems

    Jun 18, 2026Veronica Saz Ulibarrena, Simon Portegies ZwartReinforcement LearningScientific ML

    Leiden Observatory, Leiden University, Einsteinweg 55, 2333 CC, Leiden, The Netherlands

  9. Classification of Astronomical Spectra Using PCA-Compressed Flux and Inverse-Variance Features

    Jun 11, 2026Bruno Santos Meneses Barreto, Marcio EisencraftAstrophysics

    Departamento de Engenharia de Telecomunicações e Controle, Universidade de São Paulo, São Paulo-SP

  10. Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model

    Jun 5, 2026Karla Tame-Narvaez, Aleksandra Ćiprijanović, Shubhendu TrivediUncertainty QuantificationAstrophysics

    Scientific Computing Division Fermi National Accelerator Laboratory Batavia, IL 60510 · Department of Astronomy and Astrophysics University of Chicago Chicago, IL 60637 · Fermi National Accelerator Laboratory Batavia, IL 60510 +1

  11. Generative Diffusion Priors for 3D Mapping of the Dark Universe

    May 30, 2026Brandon Zhao, Diana Scognamiglio, Olivier Doré +13D ReconstructionBayesian Inverse Problems

    Department of Computing and Mathematical Sciences, California Institute of Technology · Jet Propulsion Laboratory, California Institute of Technology · Department of Physics, Duke University +1

  12. Velocityformer: Broken-Symmetry-Matched Equivariant Graph Transformers for Cosmological Velocity Reconstruction

    May 20, 2026Tilman Tröster, David Mirkovic, Veronika Oehl +1Equivariant Neural NetworksEquivariant GNNs

    Department of Physics ETH Zürich

  13. Hyrax: An Extensible Framework for Rapid ML Experimentation and Unsupervised Discovery in the Era of Rubin, Roman, and Euclid

    May 18, 2026Aritra Ghosh, Drew Oldag, Michael Tauraso +29Scientific MLAstrophysics

    Dept. of Astronomy & the DiRAC Institute, University of Washington, Box 351580, Seattle, WA 98195, USA · eScience Institute, University of Washington, Seattle, WA, U.S.A. · School of Physics and Astronomy, University of Minnesota, Minneapolis, MN 55455, USA +6

  14. FluxFlow: Conservative Flow-Matching for Astronomical Image Super-Resolution

    May 5, 2026Shuhong Liu, Xining Ge, Ziteng Cui +8Flow MatchingImage Super-Resolution

    1The University of Tokyo · 2I2WM · 3Tohoku University +1

  15. Stable but Wrong: An Inference Limit in Galactic Archaeology

    Apr 30, 2026Zhipeng ZhangUncertainty CalibrationAstrophysics

    China Mobile Research Institute, Beijing 100053, China · China Mobile GBA (Greater Bay Area) Innovation Institute, Guangzhou 510656, China

  16. Plausible but Wrong: A case study on Agentic Failures in Astrophysical Workflows

    Apr 28, 2026Shivam Rawat, Lucie FlekAgent Failure AnalysisAI for Science

    Bonn-Aachen International Center for Information Technology, University of Bonn, Germany; Lamarr Institute for Machine Learning and Artificial Intelligence, Germany.

  17. spectroxide: A code package for computing cosmic microwave background spectral distortions

    Apr 27, 2026Ethan Baker, Hongwan Liu, Siddharth Mishra-SharmaAI-Assisted Scientific ResearchScientific Code Generation

    Physics Department, Boston University, Boston, MA 02215, USA · Faculty of Computing & Data Sciences, Boston University, Boston, MA 02215, USA

  18. AstroSURE: Learning to Remove Noise from Astronomical Images Without Ground Truth Data

    Apr 18, 2026Omid Vaheb, Sebastien Fabbro, Stark DraperSelf-Supervised Image DenoisingNoise Robustness

    Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, 10 King’s College Road, Toronto, ON M5S 3G4, Canada · National Research Council Herzberg Astronomy an Astrophysics Research Centre, 5071 West Saanich Road, Victoria, BC V9E 2E7, Canada · Department of Computer Science, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada

  19. Learning What's Real: Disentangling Signal and Measurement Artifacts in Multi-Sensor Data, with Applications to Astrophysics

    Apr 10, 2026Pablo Mercader-Perez, Carolina Cuesta-Lazaro, Daniel Muthukrishna +5AstrophysicsMultimodal Disentangled Representation Learning

    Massachusetts Institute of Technology · Flatiron Institute, Simons Foundation · Institute for Advanced Studies +5

  20. Learning the Stellar Structure Equations via Self-supervised Physics-Informed Neural Networks

    Apr 6, 2026Manuel Ballester, Santiago Lopez-Tapia, Seth Gossage +9AstrophysicsNeural PDE Solvers

    SkAI Institute (NSF–Simons AI Institute for the Sky), Chicago, IL, USA · Department of Electrical and Computer Engineering, Northwestern University, Chicago, IL, USA · CIERA, Northwestern University, Chicago, IL, USA +4

  21. AstroConcepts: A Large-Scale Multi-Label Classification Corpus for Astrophysics

    Apr 2, 2026Atilla Kaan Alkan, Felix Grezes, Sergi Blanco-Cuaresma +5AstrophysicsMulti-Label Classification

    Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, USA · Faculty of Psychology, UniDistance Suisse, Brig, Switzerland

  22. SM-Net: Learning a Continuous Spectral Manifold from Multiple Stellar Libraries

    Mar 25, 2026Omar Anwar, Aaron S. G. Robotham, Luca Cortese +1AstrophysicsNeural Surrogate Modeling

    International Centre for Radio Astronomy Research (ICRAR) The University of Western Australia (UWA), 35 Stirling Hwy, Crawley WA 6009, Australia

  23. BHCast: Unlocking Black Hole Plasma Dynamics from a Single Blurry Image with Long-Term Forecasting

    Mar 24, 2026Renbo Tu, Ali SaraerToosi, Nicholas S. Conroy +2AstrophysicsSpatiotemporal Forecasting

    University of Toronto · Vector Institute · University of Illinois at Urbana-Champaign +1

  24. Spectral Hierarchy of the Cosmic Web

    Mar 16, 2026Francisco-Shu Kitaura, Francesco SinigagliaHierarchical ClassificationSpectral Methods

    Instituto de Astrofísica de Canarias, s/n, E-38205, La Laguna, Tenerife, Spain · Departamento de Astrofísica, Universidad de La Laguna, E-38206, La Laguna, Tenerife, Spain · Institute for Fundamental Physics of the Universe, Via Beirut 2, I-34151 Trieste, Italy +3

  25. Mapping Dark-Matter Clusters via Physics-Guided Diffusion Models

    Mar 15, 2026Diego Royo, Brandon Zhao, Adolfo Muñoz +2AstrophysicsDiffusion-Based Inverse Problems

    Universidad de Zaragoza–I3A, Spain · California Institute of Technology, USA

  26. AS-Bridge: A Bidirectional Generative Framework Bridging Next-Generation Astronomical Surveys

    Mar 12, 2026Dichang Zhang, Yixuan Shao, Simon Birrer +1Conditional Generative ModelingImage-to-Image Translation

    Stony Brook University, Stony Brook, NY, USA

  27. SELDON: Supernova Explosions Learned by Deep ODE Networks

    Mar 4, 2026Jiezhong Wu, Jack O'Brien, Jennifer Li +6AstrophysicsIrregular Time-Series Modeling

    NSF-Simons AI Institute for the Sky (SkAI), Chicago, IL, USA · Department of Industrial Engineering and Management Sciences, Northwestern University · Department of Astronomy, University of Illinois Urbana-Champaign +4

  28. Deeper detection limits in astronomical imaging using self-supervised spatiotemporal denoising

    Feb 19, 2026Yuduo Guo, Hao Zhang, Mingyu Li +10Image DenoisingSelf-Supervised Image Denoising

    Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China · Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China · Department of Astronomy, Tsinghua University, Beijing, China +6

  29. Denoising the Deep Sky: Physics-Based CCD Noise Formation for Astronomical Imaging

    Jan 30, 2026Shuhong Liu, Xining Ge, Ziying Gu +7Synthetic Data AugmentationImage Denoising

    The University of Tokyo · I2WM · Shanghai Astronomical Observatory +2