Neural parameter calibration for large-scale multi-agent models

27 September 2022

Papers citing "Neural parameter calibration for large-scale multi-agent models"

7 / 7 papers shown

Title
Generating Origin-Destination Matrices in Neural Spatial Interaction Models Ioannis Zachos Mark Girolami Theodoros Damoulas 21 1 0 09 Oct 2024
Integrating Physics-Informed Deep Learning and Numerical Methods for Robust Dynamics Discovery and Parameter Estimation Caitlin Ho Andrea Arnold AI4CE PINN 34 0 0 05 Oct 2024
Neural parameter calibration and uncertainty quantification for epidemic forecasting Thomas Gaskin Tim Conrad G. Pavliotis Christof Schütte 25 1 0 05 Dec 2023
Inferring networks from time series: a neural approach Thomas Gaskin G. Pavliotis Mark Girolami AI4TS 29 7 0 30 Mar 2023
Likelihood-Free Parameter Estimation with Neural Bayes Estimators Matthew Sainsbury-Dale A. Zammit‐Mangion Raphael Huser 24 34 0 27 Aug 2022
Maximum likelihood estimation of potential energy in interacting particle systems from single-trajectory data Xiaohui Chen 28 25 0 21 Jul 2020
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition E. Kharazmi Zhongqiang Zhang George Karniadakis 125 508 0 11 Mar 2020