653 citations · 4.7k across the 77 of their papers we have counts for
79 papers
Memorial for Dr. Erik Bollt
Scott Bollt, Mario di Bernardo, Jeremie Fish +4
In this paper, we give a memorial tribute to Prof. Erik M. Bollt (1967--2025).
Controlling Chaotic Maps using Next-Generation Reservoir Computing
Robert M. Kent, Wendson A. S. Barbosa, Daniel J. Gauthier
In this work, we combine nonlinear system control techniques with next-generation reservoir computing, a best-in-class machine learning approach for predicting the behavior of dyna…
Perspectives on adaptive dynamical systems
Jakub Sawicki, Rico Berner, Sarah A. M. Loos +21
Adaptivity is a dynamical feature that is omnipresent in nature, socio-economics, and technology. For example, adaptive couplings appear in various real-world systems like the powe…
Learning unseen coexisting attractors
Daniel J. Gauthier, Ingo Fischer, André Röhm
Reservoir computing is a machine learning approach that can generate a surrogate model of a dynamical system. It can learn the underlying dynamical system using fewer trainable par…
Mathematical Model of Strong Physically Unclonable Functions Based on Hybrid Boolean Networks
Noeloikeau Charlot, Daniel J. Gauthier, Daniel Canaday +1
We introduce a mathematical framework for simulating Hybrid Boolean Network (HBN) Physically Unclonable Functions (PUFs, HBN-PUFs). We verify that the model is able to reproduce th…
Learning Spatiotemporal Chaos Using Next-Generation Reservoir Computing
Wendson A. S. Barbosa, Daniel J. Gauthier
Forecasting the behavior of high-dimensional dynamical systems using machine learning requires efficient methods to learn the underlying physical model. We demonstrate spatiotempor…