| Neural networks with physics-informed architectures and constraints for dynamical systems modeling F Djeumou, C Neary, E Goubault, S Putot, U Topcu Learning for Dynamics and Control Conference, 263-277, 2022 | 60 | 2022 |
| Probabilistic Swarm Guidance Subject to Graph Temporal Logic Specifications. F Djeumou, Z Xu, U Topcu Robotics: Science and Systems, 2020 | 20 | 2020 |
| On-the-fly control of unknown smooth systems from limited data F Djeumou, AP Vinod, E Goubault, S Putot, U Topcu 2021 American Control Conference (ACC), 3656-3663, 2021 | 18 | 2021 |
| Taylor-lagrange neural ordinary differential equations: Toward fast training and evaluation of neural odes F Djeumou, C Neary, E Goubault, S Putot, U Topcu arXiv preprint arXiv:2201.05715, 2022 | 13 | 2022 |
| On-the-fly control of unknown systems: From side information to performance guarantees through reachability F Djeumou, AP Vinod, E Goubault, S Putot, U Topcu IEEE Transactions on Automatic Control, 2022 | 10 | 2022 |
| Physics-informed kernel embeddings: Integrating prior system knowledge with data-driven control AJ Thorpe, C Neary, F Djeumou, MMK Oishi, U Topcu arXiv preprint arXiv:2301.03565, 2023 | 9 | 2023 |
| Online synthesis for runtime enforcement of safety in multiagent systems D Raju, S Bharadwaj, F Djeumou, U Topcu IEEE Transactions on Control of Network Systems 8 (2), 621-632, 2021 | 8 | 2021 |
| Autonomous Drifting with 3 Minutes of Data via Learned Tire Models F Djeumou, JYM Goh, U Topcu, A Balachandran 2023 IEEE International Conference on Robotics and Automation (ICRA), 968-974, 2023 | 5 | 2023 |
| Probabilistic control of heterogeneous swarms subject to graph temporal logic specifications: A decentralized and scalable approach F Djeumou, Z Xu, M Cubuktepe, U Topcu IEEE Transactions on Automatic Control 68 (4), 2245-2260, 2022 | 5 | 2022 |
| Learning to reach, swim, walk and fly in one trial: Data-driven control with scarce data and side information F Djeumou, U Topcu Learning for Dynamics and Control Conference, 453-466, 2022 | 5 | 2022 |
| Task-guided inverse reinforcement learning under partial information F Djeumou, M Cubuktepe, C Lennon, U Topcu Proceedings of the International Conference on Automated Planning and …, 2022 | 4 | 2022 |
| Learning-based, safety-constrained control from scarce data via reciprocal barriers CK Verginis, F Djeumou, U Topcu 2021 60th IEEE Conference on Decision and Control (CDC), 83-89, 2021 | 4 | 2021 |
| On-the-fly, data-driven reachability analysis and control of unknown systems: an F-16 aircraft case study F Djeumou, A Zutshi, U Topcu Proceedings of the 24th International Conference on Hybrid Systems …, 2021 | 4 | 2021 |
| Safety-constrained learning and control using scarce data and reciprocal barriers CK Verginis, F Djeumou, U Topcu arXiv preprint arXiv:2105.06526, 2021 | 4 | 2021 |
| Policy synthesis for switched linear systems with Markov decision process switching B Wu, M Cubuktepe, F Djeumou, Z Xu, U Topcu IEEE Transactions on Automatic Control 68 (1), 532-539, 2022 | 3 | 2022 |
| How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations F Djeumou, C Neary, U Topcu arXiv preprint arXiv:2306.06335, 2023 | 2 | 2023 |
| Blending controllers via multi-objective bandits P Gohari, F Djeumou, AP Vinod, U Topcu 2022 American Control Conference (ACC), 88-95, 2022 | 2 | 2022 |
| Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information F Djeumou, U Topcu arXiv preprint arXiv:2106.10533, 2021 | 1 | 2021 |
| Task-guided IRL in POMDPs that scales F Djeumou, C Ellis, M Cubuktepe, C Lennon, U Topcu Artificial Intelligence 317, 103856, 2023 | | 2023 |
| Control, Learning and Adaptation in Information-Constrained, Adversarial Environments YE Bayiz, S Carr, ES Crafts, M Cubuktepe, F Djeumou, M Ghasemi, ... | | 2023 |
Ufuk TopcuThe University of Texas at AustinBestätigte E-Mail-Adresse bei utexas.edu
