Papers

• New routes for PN destruction and formation in the ISM via neutral-neutral gas-phase reactions and an extended database for reactions involving phosphorus (2025)
  Mateus X. Silva et al.
  4.82
• Inferring Galactic Parameters from Chemical Abundances with Simulation-Based Inference (2025)
  Tobias Buck et al.
  4.30
• Accelerating lensed quasar discovery and modeling with physics-informed variational autoencoders (2024)
  Irham T. Andika et al.
  4.19
• 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
• Disentangling stellar atmospheric parameters in astronomical spectra using Generative Adversarial Neural Networks (2025)
  Minia Manteiga et al.
  2.60
• A Demonstration of a Neural Network as a Bridge Between Galaxy Simulations and Surveys (2026)
  E. Elson
  1.72
• CLiMB: A Domain-Informed Novelty Detection Clustering Framework for Galactic Archaeology and Scientific Discovery (2026)
  Lorenzo Monti 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
• CIGaRS I: Combined simulation-based inference from SNae Ia and host photometry (2025)
  Konstantin Karchev and Roberto Trotta and Raul Jimenez
  1.39
• Computational Insights into the Chemical Reaction Networks of C3H6O3,C3H7O3 and C2H5O2: Implications for the Interstellar Medium (2025)
  Anxo Lema-Saavedra et al.
  1.22
• 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
• Classification of HI Galaxy Profiles Using Unsupervised Learning and Convolutional Neural Networks: A Comparative Analysis and Methodological Cases of Studies (2025)
  Gabriel Jaimes-Illanes et al.
  1.00
• Predicting resolved galaxy properties from photometric images using convolutional neural networks (2021)
  Tobias Buck et al.
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• $\texttt{Mangrove}$: Learning Galaxy Properties from Merger Trees (2022)
  Christian Kragh Jespersen et al.
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• The GRETOBAPE gas-phase reaction network: the importance of being exothermic (2023)
  Lorenzo Tinacci et al.
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• Denoising Diffusion Probabilistic Models to Predict the Density of Molecular Clouds (2023)
  Duo Xu et al.
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• The CAMELS project: Expanding the galaxy formation model space with new ASTRID and 28-parameter TNG and SIMBA suites (2023)
  Yueying Ni et al.
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• Neural Astrophysical Wind Models (2023)
  Dustin D. Nguyen
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• Local primordial non-Gaussianity from the large-scale clustering of photometric DESI luminous red galaxies (2023)
  Mehdi Rezaie et al.
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• A Novel Sector-Based Algorithm for an Optimized Star-Galaxy Classification (2024)
  Anumanchi Agastya Sai Ram Likhit et al.
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• Galaxy spectroscopy without spectra: Galaxy properties from photometric images with conditional diffusion models (2024)
  Lars Doorenbos et al.
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• Geometric deep learning for galaxy-halo connection: a case study for galaxy intrinsic alignments (2024)
  Yesukhei Jagvaral et al.
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• Probabilistic Galaxy Field Generation with Diffusion Models (2024)
  Tanner Sether et al.
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