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Improving Gradient-guided Nested Sampling for Posterior Inference

Improving Gradient-guided Nested Sampling for Posterior Inference

6 December 2023
Pablo Lemos
Nikolay Malkin
Will Handley
Yoshua Bengio
Y. Hezaveh
Laurence Perreault Levasseur
    BDL
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Papers citing "Improving Gradient-guided Nested Sampling for Posterior Inference"

12 / 12 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
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
54
3
0
10 Jan 2025
Adaptive teachers for amortized samplers
Adaptive teachers for amortized samplers
Minsu Kim
Sanghyeok Choi
Taeyoung Yun
Emmanuel Bengio
Leo Feng
Jarrid Rector-Brooks
Sungsoo Ahn
Jinkyoo Park
Nikolay Malkin
Yoshua Bengio
49
2
0
02 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
MetaGFN: Exploring Distant Modes with Adapted Metadynamics for Continuous GFlowNets
MetaGFN: Exploring Distant Modes with Adapted Metadynamics for Continuous GFlowNets
Dominic Phillips
F. Cipcigan
34
3
0
28 Aug 2024
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
Tara Akhound-Sadegh
Jarrid Rector-Brooks
A. Bose
Sarthak Mittal
Pablo Lemos
...
Siamak Ravanbakhsh
Gauthier Gidel
Yoshua Bengio
Nikolay Malkin
Alexander Tong
DiffM
27
41
0
09 Feb 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
59
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
13
3
0
06 Feb 2024
GFlowNets and variational inference
GFlowNets and variational inference
Nikolay Malkin
Salem Lahlou
T. Deleu
Xu Ji
J. E. Hu
Katie Everett
Dinghuai Zhang
Yoshua Bengio
BDL
127
77
0
02 Oct 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
18
75
0
31 May 2022
Trajectory balance: Improved credit assignment in GFlowNets
Trajectory balance: Improved credit assignment in GFlowNets
Nikolay Malkin
Moksh Jain
Emmanuel Bengio
Chen Sun
Yoshua Bengio
145
165
0
31 Jan 2022
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
130
3,260
0
09 Jun 2012
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