Using Machine Learning to Anticipate Tipping Points and Extrapolate to Post-Tipping Dynamics of Non-Stationary Dynamical Systems

1 July 2022

Papers citing "Using Machine Learning to Anticipate Tipping Points and Extrapolate to Post-Tipping Dynamics of Non-Stationary Dynamical Systems"

18 / 18 papers shown

Title
True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics Christoph Jürgen Hemmer Daniel Durstewitz AI4TS SyDa AI4CE 17 0 0 19 May 2025
Deep Learning for predicting rate-induced tipping Yu Huang S. Bathiany Peter Ashwin Niklas Boers 26 4 0 11 Sep 2024
Deep learning for predicting the occurrence of tipping points Chengzuo Zhuge Jiawei Li Wei Chen BDL AI4TS 36 1 0 26 Jul 2024
Out-of-Domain Generalization in Dynamical Systems Reconstruction Niclas Alexander Göring Florian Hess Manuel Brenner Zahra Monfared Daniel Durstewitz AI4CE 43 12 0 28 Feb 2024
Attractor reconstruction with reservoir computers: The effect of the reservoir's conditional Lyapunov exponents on faithful attractor reconstruction J. D. Hart 35 6 0 30 Dec 2023
Extrapolating tipping points and simulating non-stationary dynamics of complex systems using efficient machine learning Daniel Köglmayr Christoph Räth 24 6 0 11 Dec 2023
Tipping Points of Evolving Epidemiological Networks: Machine Learning-Assisted, Data-Driven Effective Modeling N. Evangelou Tianqi Cui J. M. Bello-Rivas Alexei Makeev Ioannis G. Kevrekidis 43 1 0 01 Nov 2023
Bifurcations and loss jumps in RNN training Lukas Eisenmann Zahra Monfared Niclas Alexander Göring Daniel Durstewitz 27 9 0 26 Oct 2023
Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces Miguel Liu-Schiaffini C. Singer Nikola B. Kovachki T. Schneider Kamyar Azizzadenesheli Anima Anandkumar 37 4 0 17 Aug 2023
Detecting disturbances in network-coupled dynamical systems with machine learning P. S. Skardal J. Restrepo 11 4 0 24 Jul 2023
Predicting Ordinary Differential Equations with Transformers Soren Becker M. Klein Alexander Neitz Giambattista Parascandolo Niki Kilbertus 35 15 0 24 Jul 2023
Suppressing unknown disturbances to dynamical systems using machine learning J. Restrepo Clayton P. Byers P. S. Skardal 16 2 0 19 Jun 2023
Generalized Teacher Forcing for Learning Chaotic Dynamics Florian Hess Zahra Monfared Manuela Brenner Daniel Durstewitz AI4CE 37 31 0 07 Jun 2023
Reservoir Computing with Error Correction: Long-term Behaviors of Stochastic Dynamical Systems Cheng Fang Yubin Lu Ting Gao Jinqiao Duan 33 4 0 01 May 2023
Predicting discrete-time bifurcations with deep learning T. Bury D. Dylewsky C. Bauch M. Anand L. Glass A. Shrier G. Bub 29 18 0 16 Mar 2023
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics Manuela Brenner Florian Hess G. Koppe Daniel Durstewitz 33 10 0 15 Dec 2022
Changes from Classical Statistics to Modern Statistics and Data Science Kai Zhang Shan-Yu Liu M. Xiong 39 0 0 30 Oct 2022
Catch-22s of reservoir computing Yuanzhao Zhang Sean P. Cornelius 21 11 0 18 Oct 2022