Self-directed online machine learning for topology optimization | Nature Communications
Learning dynamical systems from data: A simple cross-validation perspective, Part III: Irregularly-sampled time series - ScienceDirect
Michael Mahoney - Dynamical systems and machine learning - YouTube
Next generation reservoir computing | Nature Communications
Computers | Free Full-Text | Understanding of Machine Learning with Deep Learning: Architectures, Workflow, Applications and Future Directions
Learning agile and dynamic motor skills for legged robots | Science Robotics
Machine Learning Force Fields and Coarse-Grained Variables in Molecular Dynamics: Application to Materials and Biological Systems | Journal of Chemical Theory and Computation
Dynamics and Optimization of Learning Systems (DOLS) | Earth Signals and Systems Group
11 The system dynamics modeling process | Download Scientific Diagram
Time series in healthcare: challenges and solutions // van der Schaar Lab
A review of dynamical systems approaches for the detection of chaotic attractors in cancer networks - ScienceDirect
Learning dynamical systems from data: A simple cross-validation perspective, Part III: Irregularly-sampled time series - ScienceDirect
Machine learning dismantling and early-warning signals of disintegration in complex systems | Nature Communications
Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records - The Lancet Digital Health
Artificial neural network - Wikipedia
Learning dynamical systems from data: A simple cross-validation perspective, Part III: Irregularly-sampled time series - ScienceDirect
Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI | PLOS Computational Biology
Deep multi-modal learning for joint linear representation of nonlinear dynamical systems | Scientific Reports
Learning dynamical systems from data: A simple cross-validation perspective, Part III: Irregularly-sampled time series - ScienceDirect
From Computational Fluid Dynamics to Structure Interpretation via Neural Networks: An Application to Flow and Transport in Porous Media | Industrial & Engineering Chemistry Research
From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling | Nature Communications
Real-Time Adaptive Machine-Learning-Based Predictive Control of Nonlinear Processes | Industrial & Engineering Chemistry Research
Frontiers | Generative Models of Brain Dynamics
