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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
ArXiv (abs)PDFHTML

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

4 / 4 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
118
4
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
118
35
0
25 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
78
36
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
301
12
0
15 Jun 2022
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