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Amortised Likelihood-free Inference for Expensive Time-series Simulators
  with Signatured Ratio Estimation

Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation

23 February 2022
Joel Dyer
Patrick W Cannon
Sebastian M. Schmon
ArXivPDFHTML

Papers citing "Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation"

6 / 6 papers shown
Title
Compositional simulation-based inference for time series
Compositional simulation-based inference for time series
Manuel Gloeckler
S. Toyota
Kenji Fukumizu
Jakob H Macke
32
1
0
05 Nov 2024
Learning Robust Statistics for Simulation-based Inference under Model
  Misspecification
Learning Robust Statistics for Simulation-based Inference under Model Misspecification
Daolang Huang
Ayush Bharti
Amauri Souza
Luigi Acerbi
Samuel Kaski
33
30
0
25 May 2023
The Signature Kernel
The Signature Kernel
Darrick Lee
Harald Oberhauser
11
10
0
08 May 2023
Investigating the Impact of Model Misspecification in Neural
  Simulation-based Inference
Investigating the Impact of Model Misspecification in Neural Simulation-based Inference
Patrick W Cannon
Daniel Ward
Sebastian M. Schmon
4
34
0
05 Sep 2022
Calibrating Agent-based Models to Microdata with Graph Neural Networks
Calibrating Agent-based Models to Microdata with Graph Neural Networks
Joel Dyer
Patrick W Cannon
J. Farmer
Sebastian M. Schmon
23
11
0
15 Jun 2022
Benchmarking Simulation-Based Inference
Benchmarking Simulation-Based Inference
Jan-Matthis Lueckmann
Jan Boelts
David S. Greenberg
P. J. Gonçalves
Jakob H. Macke
96
180
0
12 Jan 2021
1