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Compositional Score Modeling for Simulation-based Inference

Compositional Score Modeling for Simulation-based Inference

28 September 2022
Tomas Geffner
George Papamakarios
A. Mnih
ArXivPDFHTML

Papers citing "Compositional Score Modeling for Simulation-based Inference"

18 / 18 papers shown
Title
Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models
Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models
Julius Vetter
Manuel Gloeckler
Daniel Gedon
Jakob H Macke
41
0
0
24 Apr 2025
Robust Simulation-Based Inference under Missing Data via Neural Processes
Yogesh Verma
Ayush Bharti
Vikas K. Garg
68
0
0
03 Mar 2025
Amortized In-Context Bayesian Posterior Estimation
Sarthak Mittal
Niels Leif Bracher
Guillaume Lajoie
P. Jaini
Marcus A. Brubaker
62
1
0
10 Feb 2025
Diffusion Models for Inverse Problems in the Exponential Family
Alessandro Micheli
Mélodie Monod
Samir Bhatt
66
0
0
09 Feb 2025
Compositional simulation-based inference for time series
Compositional simulation-based inference for time series
Manuel Gloeckler
S. Toyota
Kenji Fukumizu
Jakob H Macke
45
1
0
05 Nov 2024
Steering Masked Discrete Diffusion Models via Discrete Denoising
  Posterior Prediction
Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction
Jarrid Rector-Brooks
Mohsin Hasan
Zhangzhi Peng
Zachary Quinn
Chenghao Liu
...
Michael Bronstein
Yoshua Bengio
Pranam Chatterjee
Alexander Tong
Avishek Joey Bose
DiffM
50
6
0
10 Oct 2024
Amortized Bayesian Multilevel Models
Amortized Bayesian Multilevel Models
Daniel Habermann
Marvin Schmitt
Lars Kühmichel
Andreas Bulling
Stefan T. Radev
Paul-Christian Burkner
59
3
0
23 Aug 2024
Diffusion Generative Modelling for Divide-and-Conquer MCMC
Diffusion Generative Modelling for Divide-and-Conquer MCMC
C. Trojan
Paul Fearnhead
C. Nemeth
DiffM
25
1
0
17 Jun 2024
Amortizing intractable inference in diffusion models for vision, language, and control
Amortizing intractable inference in diffusion models for vision, language, and control
S. Venkatraman
Moksh Jain
Luca Scimeca
Minsu Kim
Marcin Sendera
...
Alexandre Adam
Jarrid Rector-Brooks
Yoshua Bengio
Glen Berseth
Nikolay Malkin
68
24
0
31 May 2024
Does learning the right latent variables necessarily improve in-context
  learning?
Does learning the right latent variables necessarily improve in-context learning?
Sarthak Mittal
Eric Elmoznino
Léo Gagnon
Sangnie Bhardwaj
Dhanya Sridhar
Guillaume Lajoie
32
4
0
29 May 2024
All-in-one simulation-based inference
All-in-one simulation-based inference
Manuel Gloeckler
Michael Deistler
Christian Weilbach
Frank D. Wood
Jakob H. Macke
34
26
0
15 Apr 2024
Diffusion posterior sampling for simulation-based inference in tall data
  settings
Diffusion posterior sampling for simulation-based inference in tall data settings
J. Linhart
Gabriel Victorino Cardoso
Alexandre Gramfort
Sylvain Le Corff
Pedro L. C. Rodrigues
DiffM
50
3
0
11 Apr 2024
Simulation-Based Inference of Surface Accumulation and Basal Melt Rates
  of an Antarctic Ice Shelf from Isochronal Layers
Simulation-Based Inference of Surface Accumulation and Basal Melt Rates of an Antarctic Ice Shelf from Isochronal Layers
Guy Moss
V. Višnjević
Olaf Eisen
Falk M. Oraschewski
Cornelius Schroder
Jakob H. Macke
R. Drews
11
1
0
03 Dec 2023
Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based
  Inference
Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based Inference
Marvin Schmitt
Stefan T. Radev
Paul-Christian Burkner
55
5
0
17 Nov 2023
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian
  Inference
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference
Marvin Schmitt
Desi R. Ivanova
Daniel Habermann
Baixu Chen
Jie Jiang
Stefan T. Radev
FedML
30
5
0
06 Oct 2023
Simulation-based inference using surjective sequential neural likelihood
  estimation
Simulation-based inference using surjective sequential neural likelihood estimation
Simon Dirmeier
Carlo Albert
F. Pérez-Cruz
28
6
0
02 Aug 2023
Sequential Neural Score Estimation: Likelihood-Free Inference with
  Conditional Score Based Diffusion Models
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
Louis Sharrock
J. Simons
Song Liu
Mark Beaumont
DiffM
58
33
0
10 Oct 2022
Benchmarking Simulation-Based Inference
Benchmarking Simulation-Based Inference
Jan-Matthis Lueckmann
Jan Boelts
David S. Greenberg
P. J. Gonçalves
Jakob H. Macke
104
184
0
12 Jan 2021
1