Machine Learning Techniques for Astrophysics and Cosmology: Simulation-Based Inference
Fuente:
arXiv
Saved in:
| Main Author: | Thiele, Leander |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Machine Learning Techniques for Astrophysics and Cosmology: Photometric Redshifts
by: Tortorelli, Luca, et al.
Published: (2026)
by: Tortorelli, Luca, et al.
Published: (2026)
Simulation-Based Inference Benchmark for Weak Lensing Cosmology
by: Zeghal, Justine, et al.
Published: (2024)
by: Zeghal, Justine, et al.
Published: (2024)
Accounting for Selection Effects in Supernova Cosmology with Simulation-Based Inference and Hierarchical Bayesian Modelling
by: Boyd, Benjamin M., et al.
Published: (2024)
by: Boyd, Benjamin M., et al.
Published: (2024)
Unlocking 21cm Cosmology with SBI: A Beginner friendly NRE for Inference of Astrophysical Parameters
by: Sen, Bisweswar
Published: (2025)
by: Sen, Bisweswar
Published: (2025)
Furax: A Modular JAX Framework for Linear Operators in Astrophysical and Cosmological Data Analysis
by: Chanial, Pierre, et al.
Published: (2026)
by: Chanial, Pierre, et al.
Published: (2026)
Cosmology with Galaxy Cluster Properties using Machine Learning
by: Qiu, Lanlan, et al.
Published: (2023)
by: Qiu, Lanlan, et al.
Published: (2023)
Mean-Field Simulation-Based Inference for Cosmological Initial Conditions
by: Savchenko, Oleg, et al.
Published: (2024)
by: Savchenko, Oleg, et al.
Published: (2024)
LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology
by: Ho, Matthew, et al.
Published: (2024)
by: Ho, Matthew, et al.
Published: (2024)
diffhydro: Inverse Multiphysics Modeling and Embedded Machine Learning in Astrophysical Flows
by: Horowitz, Benjamin, et al.
Published: (2025)
by: Horowitz, Benjamin, et al.
Published: (2025)
The Atacama Cosmology Telescope: Map-Based Noise Simulations for DR6
by: Atkins, Zachary, et al.
Published: (2023)
by: Atkins, Zachary, et al.
Published: (2023)
Differentiable Cosmological Simulation with Adjoint Method
by: Li, Yin, et al.
Published: (2022)
by: Li, Yin, et al.
Published: (2022)
Detecting Gravitational-Wave Anisotropies with Simulation-Based Inference
by: Lemke, Anna-Malin, et al.
Published: (2026)
by: Lemke, Anna-Malin, et al.
Published: (2026)
Simulation-Based Inference for Probabilistic Galaxy Detection and Deblending
by: Mendoza, Ismael, et al.
Published: (2026)
by: Mendoza, Ismael, et al.
Published: (2026)
Fisher Score Matching for Simulation-Based Forecasting and Inference
by: Sui, Ce, et al.
Published: (2025)
by: Sui, Ce, et al.
Published: (2025)
cloelike: A Python Library for Cosmological Likelihood Inference in the Euclid Era
by: Bonici, Marco, et al.
Published: (2026)
by: Bonici, Marco, et al.
Published: (2026)
Differentiable Cosmological Hydrodynamics for Field-Level Inference and High Dimensional Parameter Constraints
by: Horowitz, Benjamin, et al.
Published: (2025)
by: Horowitz, Benjamin, et al.
Published: (2025)
Bridging Machine Learning and Cosmological Simulations: Using Neural Operators to emulate Chemical Evolution
by: van de Bor, Pelle, et al.
Published: (2025)
by: van de Bor, Pelle, et al.
Published: (2025)
OLÉ -- Online Learning Emulation in Cosmology
by: Günther, Sven, et al.
Published: (2025)
by: Günther, Sven, et al.
Published: (2025)
Cosmology from Point Clouds with Dark Matter Halos from the Quijote Simulations
by: Chatterjee, Atrideb, et al.
Published: (2024)
by: Chatterjee, Atrideb, et al.
Published: (2024)
Assessment of Gradient-Based Samplers in Standard Cosmological Likelihoods
by: Mootoovaloo, Arrykrishna, et al.
Published: (2024)
by: Mootoovaloo, Arrykrishna, et al.
Published: (2024)
The Importance of Being Adaptable: An Exploration of the Power and Limitations of Domain Adaptation for Simulation-Based Inference with Galaxy Clusters
by: Ntampaka, Michelle, et al.
Published: (2025)
by: Ntampaka, Michelle, et al.
Published: (2025)
Simulation-Based Inference of the sky-averaged 21-cm signal from CD-EoR with REACH
by: Saxena, Anchal, et al.
Published: (2024)
by: Saxena, Anchal, et al.
Published: (2024)
Population-level Dark Energy Constraints from Strong Gravitational Lensing using Simulation-Based Inference
by: Jarugula, Sreevani, et al.
Published: (2024)
by: Jarugula, Sreevani, et al.
Published: (2024)
Ly$α$NNA: A Deep Learning Field-level Inference Machine for the Lyman-$α$ Forest
by: Nayak, Parth, et al.
Published: (2023)
by: Nayak, Parth, et al.
Published: (2023)
Flexible Simulation Based Inference for Galaxy Photometric Fitting with Synthesizer
by: Harvey, Thomas, et al.
Published: (2025)
by: Harvey, Thomas, et al.
Published: (2025)
Modeling Galaxy Formation in Cosmological Simulations with CRK-HACC
by: Frontiere, Nicholas, et al.
Published: (2025)
by: Frontiere, Nicholas, et al.
Published: (2025)
Cosmological multifield emulator
by: Andrianomena, Sambatra, et al.
Published: (2024)
by: Andrianomena, Sambatra, et al.
Published: (2024)
Cosmology with ESO-SKAO Synergies
by: Santos, Mario G., et al.
Published: (2025)
by: Santos, Mario G., et al.
Published: (2025)
Simulation-Based Inference with Quantile Regression
by: Jia, He
Published: (2024)
by: Jia, He
Published: (2024)
A "Rosetta Stone" for Studies of Spatial Variation in Astrophysical Data: Power Spectra, Semivariograms, Structure Functions, and More
by: Metha, Benjamin, et al.
Published: (2024)
by: Metha, Benjamin, et al.
Published: (2024)
VROOM-SBI: A Fast Simulation-Based Bayesian Inference Methodology for QU-Fitting
by: Pal, Arpan, et al.
Published: (2026)
by: Pal, Arpan, et al.
Published: (2026)
Towards a Robust Machine-Learning Pipeline for 21-cm Cosmology Data Analysis I: A Roadmap for Development and Demonstration of Robustness Against PSF Modeling Errors
by: Choudhury, Madhurima, et al.
Published: (2025)
by: Choudhury, Madhurima, et al.
Published: (2025)
Identifying Halos in Cosmological Simulations with Continuous Wavelet Analysis: The 2D Case
by: Li, Minxing, et al.
Published: (2024)
by: Li, Minxing, et al.
Published: (2024)
Cosmological super-resolution of the 21-cm signal
by: Pochinda, Simon, et al.
Published: (2025)
by: Pochinda, Simon, et al.
Published: (2025)
The Atacama Cosmology Telescope: DR6 Maps
by: Naess, Sigurd, et al.
Published: (2025)
by: Naess, Sigurd, et al.
Published: (2025)
SOAP: A Python Package for Calculating the Properties of Galaxies and Halos Formed in Cosmological Simulations
by: McGibbon, Robert, et al.
Published: (2025)
by: McGibbon, Robert, et al.
Published: (2025)
Machine Learning applications to Galaxy Clusters
by: Yepes, Gustavo, et al.
Published: (2026)
by: Yepes, Gustavo, et al.
Published: (2026)
A Multi-Site Study of Radio Environment for Cosmology Experiments
by: Agrawal, Yash, et al.
Published: (2025)
by: Agrawal, Yash, et al.
Published: (2025)
A Cohesive Deep Drilling Field Strategy for LSST Cosmology
by: Gris, Philippe, et al.
Published: (2024)
by: Gris, Philippe, et al.
Published: (2024)
$\texttt{unimpeded}$: A Public Nested Sampling Database for Bayesian Cosmology
by: Ong, Dily Duan Yi, et al.
Published: (2025)
by: Ong, Dily Duan Yi, et al.
Published: (2025)
Similar Items
-
Machine Learning Techniques for Astrophysics and Cosmology: Photometric Redshifts
by: Tortorelli, Luca, et al.
Published: (2026) -
Simulation-Based Inference Benchmark for Weak Lensing Cosmology
by: Zeghal, Justine, et al.
Published: (2024) -
Accounting for Selection Effects in Supernova Cosmology with Simulation-Based Inference and Hierarchical Bayesian Modelling
by: Boyd, Benjamin M., et al.
Published: (2024) -
Unlocking 21cm Cosmology with SBI: A Beginner friendly NRE for Inference of Astrophysical Parameters
by: Sen, Bisweswar
Published: (2025) -
Furax: A Modular JAX Framework for Linear Operators in Astrophysical and Cosmological Data Analysis
by: Chanial, Pierre, et al.
Published: (2026)