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2012.10903
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Score Matched Neural Exponential Families for Likelihood-Free Inference
Journal of machine learning research (JMLR), 2020
20 December 2020
Lorenzo Pacchiardi
Ritabrata Dutta
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Papers citing
"Score Matched Neural Exponential Families for Likelihood-Free Inference"
18 / 18 papers shown
Proper scoring rules for estimation and forecast evaluation
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Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation
Marvin Schmitt
Paul-Christian Bürkner
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Stefan T. Radev
407
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05 Jun 2024
Consistency Models for Scalable and Fast Simulation-Based Inference
Neural Information Processing Systems (NeurIPS), 2023
Marvin Schmitt
Valentin Pratz
Ullrich Kothe
Paul-Christian Bürkner
Stefan T. Radev
438
25
0
09 Dec 2023
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference
International Conference on Machine Learning (ICML), 2023
Marvin Schmitt
Desi R. Ivanova
Daniel Habermann
Baixu Chen
Jie Jiang
Stefan T. Radev
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500
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06 Oct 2023
Simulation-based Inference with the Generalized Kullback-Leibler Divergence
Benjamin Kurt Miller
Marco Federici
Christoph Weniger
Patrick Forré
396
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0
03 Oct 2023
Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Simon Dirmeier
Carlo Albert
Fernando Perez-Cruz
523
7
0
02 Aug 2023
JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Stefan T. Radev
Marvin Schmitt
Valentin Pratz
Umberto Picchini
Ullrich Kothe
Paul-Christian Bürkner
BDL
672
48
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17 Feb 2023
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference
Ryan P. Kelly
David J. Nott
David T. Frazier
D. Warne
Christopher C. Drovandi
331
13
0
31 Jan 2023
Maximum Likelihood Learning of Unnormalized Models for Simulation-Based Inference
Pierre Glaser
Michael Arbel
Samo Hromadka
Arnaud Doucet
Arthur Gretton
432
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26 Oct 2022
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
International Conference on Machine Learning (ICML), 2022
Louis Sharrock
J. Simons
Song Liu
Mark Beaumont
DiffM
350
56
0
10 Oct 2022
Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation
Neural Information Processing Systems (NeurIPS), 2022
Arnaud Delaunoy
Joeri Hermans
Sacha Lewin
Antoine Wehenkel
Gilles Louppe
311
41
0
29 Aug 2022
Classification via score-based generative modelling
Yongchao Huang
DiffM
187
2
0
22 Jul 2022
Modularized Bayesian analyses and cutting feedback in likelihood-free inference
Statistics and computing (Stat. Comput.), 2022
Atlanta Chakraborty
David J. Nott
Christopher C. Drovandi
David T. Frazier
Scott A. Sisson
243
17
0
18 Mar 2022
Contrastive Conditional Neural Processes
Computer Vision and Pattern Recognition (CVPR), 2022
Zesheng Ye
Lina Yao
UQCV
280
15
0
08 Mar 2022
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks
Marvin Schmitt
Paul-Christian Bürkner
Ullrich Kothe
Stefan T. Radev
455
56
0
16 Dec 2021
A Trust Crisis In Simulation-Based Inference? Your Posterior Approximations Can Be Unfaithful
Joeri Hermans
Arnaud Delaunoy
Sacha Lewin
Antoine Wehenkel
Volodimir Begy
Gilles Louppe
414
60
0
13 Oct 2021
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