Imagen de Portada

Neural Surrogate HMC: On Using Neural Likelihoods for Hamiltonian Monte Carlo in Simulation-Based Inference

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wolniewicz, Linnea M, Sadowski, Peter, Corti, Claudio
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning High Energy Astrophysical Phenomena I.2.1
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Learning Neural Operator Surrogates for the Black Hole Accretion Code
por: Nägele, Matthias, et al.
Publicado: (2026)

Toward using GANs in astrophysical Monte-Carlo simulations
por: Isaac, Ahab, et al.
Publicado: (2024)

Simultaneously unveiling the EBL and intrinsic spectral parameters of gamma-ray sources with Hamiltonian Monte Carlo
por: Genaro, M., et al.
Publicado: (2023)

X-ray spectral fitting with Monte Carlo Dropout Neural Networks
por: Tutone, A., et al.
Publicado: (2025)

Simulation-based Inference of Massive Black Hole Binaries using Sequential Neural Likelihood
por: Vílchez, Iván Martín, et al.
Publicado: (2025)

Monte Carlo Simulations of Polarized Radiative Transfer in Neutron Star Atmospheres
por: Thi, Hoa Dinh, et al.
Publicado: (2025)

Kilonova Spectral Inverse Modelling with Simulation-Based Inference: An Amortized Neural Posterior Estimation Analysis
por: Darc, P., et al.
Publicado: (2023)

Kilonova Light Curve Parameter Estimation Using Likelihood-Free Inference
por: Desai, Malina, et al.
Publicado: (2024)

Uncertainties in the Estimation of Air Shower Observables from Monte Carlo Simulation of Radio Emission
por: Sanchez, Carlo S. Cruz, et al.
Publicado: (2025)

A Monte-Carlo Simulation on Resonant Scattering of X-ray Line Emission in Supernova Remnants
por: Li, Yiping, et al.
Publicado: (2024)

An Integral-Based Technique (IBT) to Accelerate the Monte-Carlo Radiative Transfer Computation for Supernovae
por: Chen, Xingzhuo, et al.
Publicado: (2024)

Self-consistent Solutions of Evolving Nuclear Star Clusters with Two-Dimensional Monte-Carlo Dynamical Simulations
por: Zhang, Fupeng, et al.
Publicado: (2025)

MiniFool -- Physics-Constraint-Aware Minimizer-Based Adversarial Attacks in Deep Neural Networks
por: Flek, Lucie, et al.
Publicado: (2025)

Simulation-Based Inference with Neural Posterior Estimation applied to X-ray spectral fitting: Demonstration of working principles down to the Poisson regime
por: Barret, Didier, et al.
Publicado: (2024)

Accelerating Posterior Inference from Pulsar Light Curves via Learned Latent Representations and Local Simulator-Guided Optimization
por: Taiyebah, Farhana, et al.
Publicado: (2026)

Monte Carlo evaluations of gamma-ray and radio pulsar populations
por: Tabassum, Shawaiz, et al.
Publicado: (2025)

Plane Polarization in Comptonization process : a Monte Carlo study
por: Kumar, Nagendra
Publicado: (2023)

McFACTS I: Testing the LVK AGN channel with Monte Carlo For AGN Channel Testing & Simulation (McFACTS)
por: McKernan, Barry, et al.
Publicado: (2024)

A Monte Carlo Simulation of the Broad Band X-ray Emission of the Accreting Millisecond X-ray pulsar MAXI J1816-195
por: You, Yuan, et al.
Publicado: (2024)

A Machine Learning Method for Monte Carlo Calculations of Radiative Processes
por: Charles, William, et al.
Publicado: (2024)

Diffusive shock acceleration in relativistic, oblique shocks
por: van Marle, Allard Jan, et al.
Publicado: (2024)

Monte Carlo simulations of relativistic shock breakout from a stellar wind
por: Ito, Hirotaka, et al.
Publicado: (2025)

Prompt and Conventional High-Energy Muon Spectra from a full Monte Carlo Simulation via $\texttt{CORSIKA7}$
por: Neste, Ludwig, et al.
Publicado: (2025)

Kinematics of Supernova Remnants Using Multiepoch Maximum Likelihood Estimation: Chandra Observation of Cassiopeia A as an Example
por: Sakai, Yusuke, et al.
Publicado: (2024)

Probing the Parameter Space of Axion-Like Particles Using Simulation-Based Inference
por: Bhattacharjee, Pooja, et al.
Publicado: (2025)

$\texttt{GPUmonty}$: A GPU-accelerated relativistic Monte Carlo radiative transfer code
por: Motta, Pedro Naethe, et al.
Publicado: (2026)

Gamma rays as leptonic portals to energetic neutrinos: a new Monte Carlo approach
por: Di Marco, Gaetano, et al.
Publicado: (2025)

Identifying Quasi-Periodic Micropulses in Pulsars with FAST Using Convolutional Neural Networks
por: Wang, Shidong, et al.
Publicado: (2025)

Pioneering High-Speed Pulsar Parameter Estimation Using Convolutional Neural Networks
por: Olmschenk, Greg, et al.
Publicado: (2025)

Monte Carlo parameter study for Seyfert AGN-starburst composite galaxies NGC1068 and NGC7469
por: Salvatore, Silvia, et al.
Publicado: (2025)

Cyclotron lines in subcritical X-ray pulsars: Monte Carlo simulations reveal the origin of the observed variability
por: Fotiadis, Prodromos, et al.
Publicado: (2026)

First IACT Waveform Analysis Based on Deep Convolutional Neural Networks Using CTLearn
por: Miener, T., et al.
Publicado: (2025)

Forecasting Dark Matter Subhalo Constraints from Stellar Streams using Implicit Likelihood Inference
por: Nguyen, Tri, et al.
Publicado: (2025)

Validating Sequential Monte Carlo for Gravitational-Wave Inference
por: Williams, Michael J., et al.
Publicado: (2025)

Dynamics and observational signatures of core-collapse supernovae with central engines: hydrodynamics simulations with Monte Carlo post-processing
por: Eiden, Kiran, et al.
Publicado: (2025)

Hierarchical Simulation-Based Inference of Supernova Power Sources and their Physical Properties
por: Vidal, Edgar P., et al.
Publicado: (2025)

Neural Network for Simulating Radio Emission from Extensive Air Showers
por: Sampathkumar, Pranav, et al.
Publicado: (2025)

Data production and Monte Carlo simulations for the Pierre Auger Observatory
por: Isar, Paula Gina
Publicado: (2025)

X-ray polarization in radio-quiet AGN: Insights from the wedge corona model using Monte Carlo simulations
por: Tagliacozzo, D., et al.
Publicado: (2025)

Modeling of the Gamma Ray Burst photospheric emission: Monte Carlo simulation of the GRB prompt emission, numerical results and discussion
por: Trabelsi, Amina, et al.
Publicado: (2024)