ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2101.09675
  4. Cited By
Nested Sampling Methods

Nested Sampling Methods

24 January 2021
J. Buchner
ArXivPDFHTML

Papers citing "Nested Sampling Methods"

16 / 16 papers shown
Title
Resonances in reflective Hamiltonian Monte Carlo
Resonances in reflective Hamiltonian Monte Carlo
Namu Kroupa
Gábor Csányi
Will Handley
24
0
0
16 Apr 2025
From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training
From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training
Julius Berner
Lorenz Richter
Marcin Sendera
Jarrid Rector-Brooks
Nikolay Malkin
OffRL
56
3
0
10 Jan 2025
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
Improved off-policy training of diffusion samplers
Improved off-policy training of diffusion samplers
Marcin Sendera
Minsu Kim
Sarthak Mittal
Pablo Lemos
Luca Scimeca
Jarrid Rector-Brooks
Alexandre Adam
Yoshua Bengio
Nikolay Malkin
OffRL
64
16
0
07 Feb 2024
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
Pablo Lemos
Sammy N. Sharief
Nikolay Malkin
Laurence Perreault Levasseur
Y. Hezaveh
Laurence Perreault-Levasseur
Yashar Hezaveh
19
3
0
06 Feb 2024
Phantom-Powered Nested Sampling
Phantom-Powered Nested Sampling
Joshua G. Albert
9
0
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
Towards equilibrium molecular conformation generation with GFlowNets
Towards equilibrium molecular conformation generation with GFlowNets
Alexandra Volokhova
Michal Koziarski
Alex Hernández-García
Cheng-Hao Liu
Santiago Miret
Pablo Lemos
Luca Thiede
Zichao Yan
Alán Aspuru-Guzik
Yoshua Bengio
24
9
0
20 Oct 2023
Snowballing Nested Sampling
Snowballing Nested Sampling
Johannes Buchner
13
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
10
5
0
30 Jun 2023
Comparison of Step Samplers for Nested Sampling
Comparison of Step Samplers for Nested Sampling
Johannes Buchner
19
4
0
17 Nov 2022
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel
  Recombination
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
Masaki Adachi
Satoshi Hayakawa
Martin Jørgensen
Harald Oberhauser
Michael A. Osborne
9
19
0
09 Jun 2022
Nested sampling for physical scientists
Nested sampling for physical scientists
G. Ashton
N. Bernstein
Johannes Buchner
Xi Chen
Gábor Csányi
...
Leah F. South
J. Veitch
Philipp Wacker
D. Wales
David Yallup
31
76
0
31 May 2022
Nested Sampling for Non-Gaussian Inference in SLAM Factor Graphs
Nested Sampling for Non-Gaussian Inference in SLAM Factor Graphs
Qiangqiang Huang
Alan Papalia
J. Leonard
12
4
0
22 Sep 2021
Bayesian posterior repartitioning for nested sampling
Bayesian posterior repartitioning for nested sampling
Xi Chen
F. Feroz
Michael P. Hobson
11
2
0
13 Aug 2019
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
132
3,263
0
09 Jun 2012
1