Keyan Miao
Keyan Miao
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Learning robust state observers using neural odes
K Miao, K Gatsis
Learning for Dynamics and Control Conference, 208-219, 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
Optimal control of a growth/consumption model
K Miao, R Vinter
Optimal Control Applications and Methods 42 (6), 1672-1688, 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
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
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