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2205.15784
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Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization
31 May 2022
Lorenzo Pacchiardi
Ritabrata Dutta
TPM
BDL
UQCV
GAN
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Papers citing
"Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization"
19 / 19 papers shown
Title
Likelihood-Free Variational Autoencoders
Chen Xu
Qiang Wang
Lijun Sun
DiffM
DRL
190
0
0
24 Apr 2025
Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions
Jianxin Zhang
Josh Viktorov
Doosan Jung
Emily Pitler
DiffM
213
0
0
04 Oct 2024
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks
Matthew Sainsbury-Dale
A. Zammit‐Mangion
J. Richards
Raphael Huser
639
15
0
04 Oct 2023
Bayesian Synthetic Likelihood
David T. Frazier
Christopher C. Drovandi
David J. Nott
182
220
0
09 May 2023
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors
Ali Harakeh
Steven L. Waslander
UQCV
118
41
0
13 Jan 2021
BayesFlow: Learning complex stochastic models with invertible neural networks
Stefan T. Radev
U. Mertens
A. Voss
Lynton Ardizzone
Ullrich Kothe
BDL
292
197
0
13 Mar 2020
On Contrastive Learning for Likelihood-free Inference
Conor Durkan
Iain Murray
George Papamakarios
BDL
223
124
0
10 Feb 2020
Normalizing Flows for Probabilistic Modeling and Inference
George Papamakarios
Eric T. Nalisnick
Danilo Jimenez Rezende
S. Mohamed
Balaji Lakshminarayanan
TPM
AI4CE
213
1,717
0
05 Dec 2019
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy
Badr-Eddine Chérief-Abdellatif
Pierre Alquier
166
75
0
29 Sep 2019
Automatic Posterior Transformation for Likelihood-Free Inference
David S. Greenberg
M. Nonnenmacher
Jakob H. Macke
390
332
0
17 May 2019
Approximate Bayesian computation via the energy statistic
Hien Nguyen
Julyan Arbel
Hongliang Lü
F. Forbes
90
29
0
14 May 2019
On GANs and GMMs
Eitan Richardson
Yair Weiss
GAN
181
152
0
31 May 2018
Likelihood-free inference with emulator networks
Jan-Matthis Lueckmann
Giacomo Bassetto
Theofanis Karaletsos
Jakob H. Macke
165
128
0
23 May 2018
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows
George Papamakarios
D. Sterratt
Iain Murray
BDL
546
370
0
18 May 2018
Demystifying MMD GANs
Mikolaj Binkowski
Danica J. Sutherland
Michael Arbel
Arthur Gretton
EGVM
188
1,501
0
04 Jan 2018
DISCO Nets: DISsimilarity COefficient Networks
Diane Bouchacourt
P. Mudigonda
Sebastian Nowozin
BDL
UD
DRL
150
59
0
08 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin
Botond Cseke
Ryota Tomioka
GAN
164
1,659
0
02 Jun 2016
Fast
ε
ε
ε
-free Inference of Simulation Models with Bayesian Conditional Density Estimation
George Papamakarios
Iain Murray
TPM
183
158
0
20 May 2016
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
458
16,922
0
20 Dec 2013
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