| Learning robust state observers using neural odes K Miao, K Gatsis Learning for Dynamics and Control Conference, 208-219, 2023 | 15 | 2023 |
| Nlbac: A neural ordinary differential equations-based framework for stable and safe reinforcement learning L Zhao, K Miao, K Gatsis, A Papachristodoulou arXiv preprint arXiv:2401.13148, 2024 | 6 | 2024 |
| Optimal control of a growth/consumption model K Miao, R Vinter Optimal Control Applications and Methods 42 (6), 1672-1688, 2021 | 6 | 2021 |
| Towards Optimal Network Depths: Control-Inspired Acceleration of Training and Inference in Neural ODEs K Miao, K Gatsis The Symbiosis of Deep Learning and Differential Equations III, 2023 | 1 | 2023 |
| How Deep Do We Need: Accelerating Training and Inference of Neural ODEs via Control Perspective K Miao, K Gatsis Forty-first International Conference on Machine Learning, 0 | | |
| Stable and Safe Human-aligned Reinforcement Learning through Neural Ordinary Differential Equations L Zhao, K Miao, K Gatsis, A Papachristodoulou | | |
Konstantinos GatsisLecturer, School of Electronics and Computer Science, University of SouthamptonVerified email at soton.ac.uk
