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FNOPE: Simulation-based inference on function spaces with Fourier Neural Operators

FNOPE: Simulation-based inference on function spaces with Fourier Neural Operators

28 May 2025
Guy Moss
Leah Sophie Muhle
R. Drews
Jakob H Macke
Cornelius Schroder
ArXivPDFHTML

Papers citing "FNOPE: Simulation-based inference on function spaces with Fourier Neural Operators"

13 / 13 papers shown
Title
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference
Paul E. Chang
Nasrulloh Loka
Daolang Huang
Ulpu Remes
Samuel Kaski
Luigi Acerbi
AI4CE
75
7
0
20 Oct 2024
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
Yinhuai Wang
Jiwen Yu
Jian Zhang
DiffM
44
437
0
01 Dec 2022
Diffusion Posterior Sampling for General Noisy Inverse Problems
Diffusion Posterior Sampling for General Noisy Inverse Problems
Hyungjin Chung
Jeongsol Kim
Michael T. McCann
M. Klasky
J. C. Ye
DiffM
56
810
0
29 Sep 2022
Compositional Score Modeling for Simulation-based Inference
Compositional Score Modeling for Simulation-based Inference
Tomas Geffner
George Papamakarios
A. Mnih
72
27
0
28 Sep 2022
Generative Adversarial Neural Operators
Generative Adversarial Neural Operators
Md Ashiqur Rahman
Manuel A. Florez
Anima Anandkumar
Zachary E. Ross
Kamyar Azizzadenesheli
GAN
25
36
0
06 May 2022
Denoising Diffusion Restoration Models
Denoising Diffusion Restoration Models
Bahjat Kawar
Michael Elad
Stefano Ermon
Jiaming Song
DiffM
238
809
0
27 Jan 2022
Physics-Informed Neural Operator for Learning Partial Differential
  Equations
Physics-Informed Neural Operator for Learning Partial Differential Equations
Zong-Yi Li
Hongkai Zheng
Nikola B. Kovachki
David Jin
Haoxuan Chen
Burigede Liu
Kamyar Azizzadenesheli
Anima Anandkumar
AI4CE
71
399
0
06 Nov 2021
A Probabilistic State Space Model for Joint Inference from Differential
  Equations and Data
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data
Jonathan Schmidt
Nicholas Kramer
Philipp Hennig
31
24
0
18 Mar 2021
Benchmarking Simulation-Based Inference
Benchmarking Simulation-Based Inference
Jan-Matthis Lueckmann
Jan Boelts
David S. Greenberg
P. J. Gonçalves
Jakob H. Macke
121
192
0
12 Jan 2021
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffM
SyDa
206
6,293
0
26 Nov 2020
On Contrastive Learning for Likelihood-free Inference
On Contrastive Learning for Likelihood-free Inference
Conor Durkan
Iain Murray
George Papamakarios
BDL
73
121
0
10 Feb 2020
Automatic Posterior Transformation for Likelihood-Free Inference
Automatic Posterior Transformation for Likelihood-Free Inference
David S. Greenberg
M. Nonnenmacher
Jakob H. Macke
44
319
0
17 May 2019
Sequential Neural Likelihood: Fast Likelihood-free Inference with
  Autoregressive Flows
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows
George Papamakarios
D. Sterratt
Iain Murray
BDL
87
360
0
18 May 2018
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