1. Automatic differentiation to simultaneously identify nonlinear dynamics and extract noise probability distributions from data. Issue 1 (1st March 2022) Authors: Kaheman, Kadierdan; Brunton, Steven L; Nathan Kutz, J Journal: Machine learning: science and technology Issue: Volume 3:Issue 1(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Deep reinforcement learning for optical systems: A case study of mode-locked lasers. Issue 4 (15th October 2020) Authors: Sun, Chang; Kaiser, Eurika; Brunton, Steven L; Nathan Kutz, J Journal: Machine learning: science and technology Issue: Volume 1:Issue 4(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Deep reinforcement learning for optical systems: A case study of mode-locked lasers. Issue 4 (15th October 2020) Authors: Sun, Chang; Kaiser, Eurika; Brunton, Steven L; Nathan Kutz, J Journal: Machine learning: science and technology Issue: Volume 1:Issue 4(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗