Embracing Change: Continual Learning in Deep Neural Networks: Trends in Cognitive Sciences
From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling | Nature Communications
A review of dynamical systems approaches for the detection of chaotic attractors in cancer networks - ScienceDirect
Frontiers | Prediction of wastewater treatment system based on deep learning
Closed-form continuous-time neural networks | Nature Machine Intelligence
From Computational Fluid Dynamics to Structure Interpretation via Neural Networks: An Application to Flow and Transport in Porous Media | Industrial & Engineering Chemistry Research
Learning dynamical systems from data: A simple cross-validation perspective, Part III: Irregularly-sampled time series - ScienceDirect
Learning agile and dynamic motor skills for legged robots | Science Robotics
Modeling of dynamical systems through deep learning | SpringerLink
Deep multi-modal learning for joint linear representation of nonlinear dynamical systems | Scientific Reports
Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI | PLOS Computational Biology
Physics-informed neural networks - Wikipedia
Long-Time-Step Molecular Dynamics through Hydrogen Mass Repartitioning | Journal of Chemical Theory and Computation
Artificial neural network - Wikipedia
Frontiers | Generative Models of Brain Dynamics
Time series in healthcare: challenges and solutions // van der Schaar Lab
Next generation reservoir computing | Nature Communications
Real-Time Adaptive Machine-Learning-Based Predictive Control of Nonlinear Processes | Industrial & Engineering Chemistry Research
Learning dynamical systems from data: A simple cross-validation perspective, Part III: Irregularly-sampled time series - ScienceDirect
Learning dynamical systems from data: A simple cross-validation perspective, Part III: Irregularly-sampled time series - ScienceDirect
Learning dynamical systems from data: A simple cross-validation perspective, Part III: Irregularly-sampled time series - ScienceDirect
Computers | Free Full-Text | Understanding of Machine Learning with Deep Learning: Architectures, Workflow, Applications and Future Directions
Learning dynamical systems from data: A simple cross-validation perspective, Part III: Irregularly-sampled time series - ScienceDirect
Self-directed online machine learning for topology optimization | Nature Communications
