Key papers

• Recent Advances in Simulation-based Inference for Gravitational Wave Data Analysis (2025)
  Bo Liang et al.
  5.04
• 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
• 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
• EFT-Ramses: a code to simulate the effective field theory of dark energy (2026)
  Nathaniel Ota Woodcock et al.
  2.00
• A Demonstration of a Neural Network as a Bridge Between Galaxy Simulations and Surveys (2026)
  E. Elson
  1.72
• Improving Generalization and Uncertainty Quantification of Photometric Redshift Models (2026)
  Jonathan Soriano 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
• MasconCube: Fast and Accurate Gravity Modeling with an Explicit Representation (2025)
  Pietro Fanti et al.
  1.44
• CIGaRS I: Combined simulation-based inference from SNae Ia and host photometry (2025)
  Konstantin Karchev and Roberto Trotta and Raul Jimenez
  1.39
• Statistical Machine Learning for Astronomy -- A Textbook (2025)
  Yuan-Sen Ting
  1.28
• Fast Sampling of Cosmological Initial Conditions with Gaussian Neural Posterior Estimation (2025)
  Oleg Savchenko et al.
  1.06
• Hybrid summary statistics: neural weak lensing inference beyond the power spectrum (2024)
  T. Lucas Makinen et al.
  0.72
• An end-to-end strategy for recovering a free-form potential from a snapshot of stellar coordinates (2023)
  Wassim Tenachi et al.
  0.00
• 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.
  —
• 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.
  —
• The CAMELS project: Expanding the galaxy formation model space with new ASTRID and 28-parameter TNG and SIMBA suites (2023)
  Yueying Ni et al.
  —
• CosmoPower-JAX: high-dimensional Bayesian inference with differentiable cosmological emulators (2023)
  D. Piras and A. Spurio Mancini
  —
• Local primordial non-Gaussianity from the large-scale clustering of photometric DESI luminous red galaxies (2023)
  Mehdi Rezaie et al.
  —
• Learnable wavelet neural networks for cosmological inference (2023)
  Christian Pedersen et al.
  —
• Quantum-Enhanced Support Vector Machine for Large-Scale Stellar Classification with GPU Acceleration (2023)
  Kuan-Cheng Chen et al.
  —
• Beyond mirkwood: Enhancing SED Modeling with Conformal Predictions (2023)
  Sankalp Gilda
  —
• A Novel Sector-Based Algorithm for an Optimized Star-Galaxy Classification (2024)
  Anumanchi Agastya Sai Ram Likhit et al.
  —
• Probabilistic Galaxy Field Generation with Diffusion Models (2024)
  Tanner Sether et al.
  —