Key papers

• Towards a future space-based, highly scalable AI infrastructure system design (2025)
  Blaise Ag\"uera y Arcas et al.
  5.81
• AI-enabled gravitational-waves searches for binary neutron stars at optimal sensitivity (2026)
  Bhavya Gupta et al.
  5.49
• Inferring Galactic Parameters from Chemical Abundances with Simulation-Based Inference (2025)
  Tobias Buck et al.
  4.30
• Towards a Foundation Model for the Martian Atmosphere (2026)
  Sujit Roy et al.
  4.27
• First head-to-head comparison of agentic AI applied to the analysis of simulated data of the Einstein Telescope (2026)
  Gianluca Inguglia
  4.27
• Accelerating lensed quasar discovery and modeling with physics-informed variational autoencoders (2024)
  Irham T. Andika et al.
  4.19
• Neural Dynamic Modes: Computational Imaging of Dynamical Systems from Sparse Observations (2025)
  Ali SaraerToosi et al.
  3.86
• A COMPASS to Model Comparison and Simulation-Based Inference in Galactic Chemical Evolution (2025)
  Berkay Gunes et al.
  3.86
• Mapping Galaxy Images Across Ultraviolet, Visible and Infrared Bands Using Generative Deep Learning (2025)
  Youssef Zaazou et al.
  3.53
• Dynamic SBI: Round-free Sequential Simulation-Based Inference with Adaptive Datasets (2025)
  Huifang Lyu and James Alvey and Noemi Anau Montel and Mauro Pieroni and Christoph Weniger
  3.10
• A general polynomial emulator for cosmology via moment projection (2025)
  Zheng Zhang
  2.93
• Disentangling stellar atmospheric parameters in astronomical spectra using Generative Adversarial Neural Networks (2025)
  Minia Manteiga et al.
  2.60
• Deep Learning and LLM-based Methods Applied to Stellar Lightcurve Classification (2024)
  Yu-Yang Li et al.
  2.15
• EFT-Ramses: a code to simulate the effective field theory of dark energy (2026)
  Nathaniel Ota Woodcock et al.
  2.00
• Fully Automatic Trace Gas Plume Detection (2026)
  V\'it R\r{u}\v{z}i\v{c}ka et al.
  1.89
• ExoNet: Calibrated Multimodal Deep Learning for TESS Exoplanet Candidate Vetting using Phase-Folded Light Curves, Stellar Parameters, and Multi-Head Attention (2026)
  Md.Rashadul Islam
  1.83
• Augmenting representations with scientific papers (2026)
  Nicol\`o Oreste Pinciroli Vago et al.
  1.78
• SM-Net: Learning a Continuous Spectral Manifold from Multiple Stellar Libraries (2026)
  Omar Anwar et al.
  1.78
• ASTER -- Agentic Science Toolkit for Exoplanet Research (2026)
  Emilie Panek et al.
  1.78
• A Demonstration of a Neural Network as a Bridge Between Galaxy Simulations and Surveys (2026)
  E. Elson
  1.72
• Generalization from Low- to Moderate-Resolution Spectra with Neural Networks for Stellar Parameter Estimation: A Case Study with DESI (2026)
  Xiaosheng Zhao et al.
  1.72
• Photometric Redshift Estimation Using Scaled Ensemble Learning (2026)
  Swagata Biswas et al.
  1.67
• CLiMB: A Domain-Informed Novelty Detection Clustering Framework for Galactic Archaeology and Scientific Discovery (2026)
  Lorenzo Monti et al.
  1.67
• Improving Generalization and Uncertainty Quantification of Photometric Redshift Models (2026)
  Jonathan Soriano et al.
  1.67
• Denoising the Deep Sky: Physics-Based CCD Noise Formation for Astronomical Imaging (2026)
  Shuhong Liu et al.
  1.67
• Galaxy Phase-Space and Field-Level Cosmology: The Strength of Semi-Analytic Models (2025)
  Natal\'i S. M. de Santi et al.
  1.61
• Connecting the Dots: A Machine Learning Ready Dataset for Ionospheric Forecasting Models (2025)
  Linnea M. Wolniewicz et al.
  1.56
• deep-REMAP: Probabilistic Parameterization of Stellar Spectra Using Regularized Multi-Task Learning (2025)
  Sankalp Gilda
  1.50
• Universal Spectral Tokenization via Self-Supervised Panchromatic Representation Learning (2025)
  Jeff Shen et al.
  1.50
• RGC: a radio AGN classifier based on deep learning. I. A semi-supervised model for the VLA images of bent radio AGNs (2025)
  M.S. Hossain (1) et al.
  1.50
• Radio Astronomy in the Era of Vision-Language Models: Prompt Sensitivity and Adaptation (2025)
  Mariia Drozdova et al.
  1.44
• MasconCube: Fast and Accurate Gravity Modeling with an Explicit Representation (2025)
  Pietro Fanti et al.
  1.44
• Machine Learning for Exoplanet Detection: A Comparative Analysis Using Kepler Data (2025)
  Reihaneh Karimi et al.
  1.39
• CIGaRS I: Combined simulation-based inference from SNae Ia and host photometry (2025)
  Konstantin Karchev and Roberto Trotta and Raul Jimenez
  1.39
• POLARIS: A High-contrast Polarimetric Imaging Benchmark Dataset for Exoplanetary Disk Representation Learning (2025)
  Fangyi Cao et al.
  1.28
• Statistical Machine Learning for Astronomy -- A Textbook (2025)
  Yuan-Sen Ting
  1.28
• Advanced Modeling for Exoplanet Detection and Characterization (2025)
  Krishna Chamarthy
  1.28
• Unified Deep Learning Approach for Estimating the Metallicities of RR Lyrae Stars Using light curves from Gaia Data Release 3 (2025)
  Lorenzo Monti et al.
  1.22
• ExoPhoto: A Database of Temperature-Dependent Photodissociation Cross Sections (2025)
  Qing-He Ni et al.
  1.22
• Science Autonomy using Machine Learning for Astrobiology (2025)
  Victoria Da Poian et al.
  1.17
• Fast Sampling of Cosmological Initial Conditions with Gaussian Neural Posterior Estimation (2025)
  Oleg Savchenko et al.
  1.06
• Machine learning-driven conservative-to-primitive conversion in hybrid piecewise polytropic and tabulated equations of state (2024)
  Semih Kacmaz et al.
  1.00
• SPACE-SUIT: An Artificial Intelligence Based Chromospheric Feature Extractor and Classifier for SUIT (2024)
  Pranava Seth et al.
  1.00
• An end-to-end strategy for recovering a free-form potential from a snapshot of stellar coordinates (2023)
  Wassim Tenachi et al.
  0.00
• Machine learning for predicting thermal power consumption of the Mars Express Spacecraft (2018)
  Matej Petkovi\'c et al.
  —
• Inferring Vector Magnetic Fields from Stokes Profiles of GST/NIRIS Using a Convolutional Neural Network (2020)
  Hao Liu et al.
  —
• Identifying Exoplanets with Deep Learning. IV. Removing Stellar Activity Signals from Radial Velocity Measurements Using Neural Networks (2020)
  Zoe L. de Beurs et al.
  —
• Predicting resolved galaxy properties from photometric images using convolutional neural networks (2021)
  Tobias Buck et al.
  —
• Probabilistic Mass Mapping with Neural Score Estimation (2022)
  Benjamin Remy et al.
  —
• Exoplanet Characterization using Conditional Invertible Neural Networks (2022)
  Jonas Haldemann et al.
  —
• Estimation of stellar atmospheric parameters from LAMOST DR8 low-resolution spectra with 20$\leq$SNR$<$30 (2022)
  Xiangru Li et al.
  —
• Astroconformer: Inferring Surface Gravity of Stars from Stellar Light Curves with Transformer (2022)
  Jiashu Pan et al.
  —
• Inferring Structural Parameters of Low-Surface-Brightness-Galaxies with Uncertainty Quantification using Bayesian Neural Networks (2022)
  Dimitrios Tanoglidis et al.
  —
• Virgo: Scalable Unsupervised Classification of Cosmological Shock Waves (2022)
  Max Lamparth et al.
  —
• Inferring subhalo effective density slopes from strong lensing observations with neural likelihood-ratio estimation (2022)
  Gemma Zhang et al.
  —
• $\texttt{Mangrove}$: Learning Galaxy Properties from Merger Trees (2022)
  Christian Kragh Jespersen et al.
  —
• Deep Learning application for stellar parameters determination: II- Application to observed spectra of AFGK stars (2022)
  Marwan Gebran et al.
  —
• Pluto's Surface Mapping using Unsupervised Learning from Near-Infrared Observations of LEISA/Ralph (2023)
  A. Emran et al.
  —
• Parameters for > 300 million Gaia stars: Bayesian inference vs. machine learning (2023)
  F. Anders et al.
  —
• Self-Supervised Learning for Modeling Gamma-ray Variability in Blazars (2023)
  Aryeh Brill
  —