Parameter inference from a non-stationary unknown process

12 July 2024

Papers citing "Parameter inference from a non-stationary unknown process"

8 / 8 papers shown

Title
When Artificial Parameter Evolution Gets Real: Particle Filtering for Time-Varying Parameter Estimation in Deterministic Dynamical Systems Andrea Arnold 46 6 0 31 Mar 2022
Chaos as an interpretable benchmark for forecasting and data-driven modelling W. Gilpin AI4TS 58 81 0 11 Oct 2021
Benchmarking Multivariate Time Series Classification Algorithms Alejandro Pasos Ruiz Michael Flynn A. Bagnall AI4TS 76 378 0 26 Jul 2020
Fast and Flexible Bayesian Inference in Time-varying Parameter Regression Models Niko Hauzenberger Florian Huber Gary Koop Luca Onorante AI4TS 77 37 0 23 Oct 2019
The UEA multivariate time series classification archive, 2018 A. Bagnall Hoang Anh Dau Jason Lines Michael Flynn J. Large A. Bostrom Paul Southam Eamonn Keogh AI4TS 179 430 0 31 Oct 2018
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics C. Wehmeyer Frank Noé AI4CE BDL 160 361 0 30 Oct 2017
VAMPnets: Deep learning of molecular kinetics Andreas Mardt Luca Pasquali Hao Wu Frank Noé 62 546 0 16 Oct 2017
Feature-based time-series analysis Ben D. Fulcher AI4TS 89 131 0 23 Sep 2017