Jose Nathan Kutz

202314 papers

1. Journal of Biomechanics 111695A machine learning approach to quantify individual gait responses to ankle exoskeletons
2. SIAM Journal on Applied Dynamical Systems 22 1523An adaptive spectral Koopman method for dynamical systems
3. International Journal of ForecastingDeep probabilistic Koopman: Long-term time-series forecasting under periodic uncertainties
4. Journal of Electrocardiology 80Instantaneous amplitude: Association of ventricular fibrillation waveform measures at time of shock with outcome in out-of-hospital cardiac arrest
5. Machine Learning: Science and TechnologyKoopman-inspired approach for identification of exogenous anomalies in nonstationary time-series data
6. Proceedings of the National Academy of Sciences 120 e2300990120Machine learning for parameter estimation
7. Journal of Computational Physics 474 111801Multiresolution Convolutional Autoencoders
8. Proceedings of the Royal Society A 479 20220576Physics-informed dynamic mode decomposition (piDMD)
9. CirculationPrediction of Shock-Refractory Ventricular Fibrillation During Resuscitation of Out-of-Hospital Cardiac Arrest
10. IEEE International Conference on Robotics and Automation (ICRA) 3383-3389Robust, high-rate trajectory tracking on insect-scale soft-actuated aerial robots with deep-learned tube MPC
11. Nonlinear Dynamics 111 7199Saddle transport and chaos in the double pendulum
12. HardwareX e00465The experimental multi-arm pendulum on a cart: A benchmark system for chaos, learning and control