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Nested sampling for physical scientists

Nested sampling for physical scientists

31 May 2022
G. Ashton
N. Bernstein
Johannes Buchner
Xi Chen
Gábor Csányi
A. Fowlie
F. Feroz
M. Griffiths
Will Handley
Michael Habeck
E. Higson
Michael P. Hobson
A. Lasenby
David Parkinson
L. Pártay
M. Pitkin
Doris Schneider
J. Speagle
Leah F. South
J. Veitch
Philipp Wacker
D. Wales
David Yallup
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Papers citing "Nested sampling for physical scientists"

15 / 15 papers shown
Title
Resonances in reflective Hamiltonian Monte Carlo
Resonances in reflective Hamiltonian Monte Carlo
Namu Kroupa
Gábor Csányi
Will Handley
19
0
0
16 Apr 2025
Accelerated Bayesian parameter estimation and model selection for
  gravitational waves with normalizing flows
Accelerated Bayesian parameter estimation and model selection for gravitational waves with normalizing flows
Alicja Polanska
Thibeau Wouters
Peter T. H. Pang
Kaze K. W. Wong
Jason D. McEwen
11
1
0
28 Oct 2024
A comparison of Bayesian sampling algorithms for high-dimensional
  particle physics and cosmology applications
A comparison of Bayesian sampling algorithms for high-dimensional particle physics and cosmology applications
Joshua Albert
Csaba Balazs
A. Fowlie
Will Handley
Nicholas Hunt-Smith
Roberto Ruiz de Austri
Martin White
22
2
0
27 Sep 2024
Symbolic Regression for Beyond the Standard Model Physics
Symbolic Regression for Beyond the Standard Model Physics
Shehu AbdusSalam
Steve Abel
M. Romão
16
5
0
28 May 2024
Accelerating the prediction of inorganic surfaces with machine learning
  interatomic potentials
Accelerating the prediction of inorganic surfaces with machine learning interatomic potentials
Kyle Noordhoek
Christopher J. Bartel
AI4CE
4
6
0
18 Dec 2023
Improving Gradient-guided Nested Sampling for Posterior Inference
Improving Gradient-guided Nested Sampling for Posterior Inference
Pablo Lemos
Nikolay Malkin
Will Handley
Yoshua Bengio
Y. Hezaveh
Laurence Perreault Levasseur
BDL
31
9
0
06 Dec 2023
Snowballing Nested Sampling
Snowballing Nested Sampling
Johannes Buchner
11
0
0
10 Aug 2023
Proximal nested sampling with data-driven priors for physical scientists
Proximal nested sampling with data-driven priors for physical scientists
Jason D. McEwen
T. Liaudat
Matthew Alexander Price
Xiaohao Cai
Marcelo Pereyra
8
5
0
30 Jun 2023
Learned harmonic mean estimation of the marginal likelihood with
  normalizing flows
Learned harmonic mean estimation of the marginal likelihood with normalizing flows
Alicja Polanska
Matthew Alexander Price
A. Mancini
Jason D. McEwen
17
5
0
30 Jun 2023
Parallelized Acquisition for Active Learning using Monte Carlo Sampling
Parallelized Acquisition for Active Learning using Monte Carlo Sampling
J. Torrado
Nils Schöneberg
Jonas El Gammal
6
1
0
30 May 2023
Quantile Importance Sampling
Quantile Importance Sampling
J. Datta
Nicholas G. Polson
17
2
0
04 May 2023
Comparison of Step Samplers for Nested Sampling
Comparison of Step Samplers for Nested Sampling
Johannes Buchner
14
4
0
17 Nov 2022
Nested sampling statistical errors
Nested sampling statistical errors
A. Fowlie
Qiao Li
Huifang Lv
Yecheng Sun
Jia Zhang
Lewen Zheng
23
0
0
07 Nov 2022
Hyperactive Learning (HAL) for Data-Driven Interatomic Potentials
Hyperactive Learning (HAL) for Data-Driven Interatomic Potentials
Cas van der Oord
Matthias Sachs
D. P. Kovács
Christoph Ortner
Gábor Csányi
28
63
0
09 Oct 2022
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
132
3,260
0
09 Jun 2012
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