| Integrating machine learning with human knowledge C Deng, X Ji, C Rainey, J Zhang, W Lu Iscience 23 (11), 2020 | 127* | 2020 |
| Feed-forward neural networks with trainable delay XA Ji, TG Molnár, SS Avedisov, G Orosz Learning for Dynamics and Control, 127-136, 2020 | 10 | 2020 |
| Learning the dynamics of time delay systems with trainable delays XA Ji, TG Molnár, SS Avedisov, G Orosz Learning for Dynamics and Control, 930-942, 2021 | 8 | 2021 |
| On-board traffic prediction for connected vehicles: implementation and experiments on highways TG Molnár, XA Ji, S Oh, D Takács, M Hopka, D Upadhyay, ... 2022 American Control Conference (ACC), 1036-1041, 2022 | 6 | 2022 |
| Bayesian inference for time delay systems with application to connected automated vehicles XA Ji, TG Molnár, AA Gorodetsky, G Orosz 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 5 | 2021 |
| Learning time delay systems with neural ordinary differential equations XA Ji, G Orosz IFAC-PapersOnLine 55 (36), 79-84, 2022 | 4 | 2022 |
| Learn from one and predict all: single trajectory learning for time delay systems XA Ji, G Orosz Nonlinear Dynamics 112 (5), 3505-3518, 2024 | 1 | 2024 |
| Learning the dynamics of autonomous nonlinear delay systems X Ji, G Orosz Learning for Dynamics and Control Conference, 116-127, 2023 | 1 | 2023 |
| Trainable Delays in Time Delay Neural Networks for Learning Delayed Dynamics XA Ji, G Orosz IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
| Data Collection for Learning the Dynamics and Control of an Electric Unicycle L Mihályi, XA Ji, G Orosz, D Takács The Evolving Scholar-BMD 2023, 5th Edition, 2023 | | 2023 |
Gábor OroszMechanical Engineering, University of Michigan, Ann ArborZweryfikowany adres z umich.edu
