Nikolai Matni
University of Pennsylvania
H-index: 28
North America-United States
Top articles of Nikolai Matni
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Sharp rates in dependent learning theory: Avoiding sample size deflation for the square loss | arXiv preprint arXiv:2402.05928 | Ingvar Ziemann Stephen Tu George J Pappas Nikolai Matni | 2024/2/8 |
Reactive Temporal Logic-based Planning and Control for Interactive Robotic Tasks | arXiv preprint arXiv:2404.19594 | Farhad Nawaz Shaoting Peng Lars Lindemann Nadia Figueroa Nikolai Matni | 2024/4/30 |
Towards a Theory of Control Architecture: A quantitative framework for layered multi-rate control | arXiv preprint arXiv:2401.15185 | Nikolai Matni Aaron D Ames John C Doyle | 2024/1/26 |
Active Learning for Control-Oriented Identification of Nonlinear Systems | arXiv preprint arXiv:2404.09030 | Bruce D Lee Ingvar Ziemann George J Pappas Nikolai Matni | 2024/4/13 |
Why Change Your Controller When You Can Change Your Planner: Drag-Aware Trajectory Generation for Quadrotor Systems | arXiv preprint arXiv:2401.04960 | Hanli Zhang Anusha Srikanthan Spencer Folk Vijay Kumar Nikolai Matni | 2024/1/10 |
Learning robust output control barrier functions from safe expert demonstrations | arXiv preprint arXiv:2111.09971 | Lars Lindemann Alexander Robey Lejun Jiang Satyajeet Das Stephen Tu | 2021/11/18 |
EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields | Anish Bhattacharya Ratnesh Madaan Fernando Cladera Sai Vemprala Rogerio Bonatti | 2024 | |
Uncertainty-Aware Deployment of Pre-trained Language-Conditioned Imitation Learning Policies | arXiv preprint arXiv:2403.18222 | Bo Wu Bruce D Lee Kostas Daniilidis Bernadette Bucher Nikolai Matni | 2024/3/27 |
The noise level in linear regression with dependent data | Advances in Neural Information Processing Systems | Ingvar Ziemann Stephen Tu George J Pappas Nikolai Matni | 2024/2/13 |
A Tutorial on the Non-Asymptotic Theory of System Identification | Ingvar Ziemann Anastasios Tsiamis Bruce Lee Yassir Jedra Nikolai Matni | 2023/12/13 | |
Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data | Thomas TCK Zhang Leonardo Felipe Toso James Anderson Nikolai Matni | 2023/10/13 | |
Learning-enhanced nonlinear model predictive control using knowledge-based neural ordinary differential equations and deep ensembles | Kong Yao Chee M Ani Hsieh Nikolai Matni | 2023/6/6 | |
Distributed and localized model predictive control—Part II: Theoretical guarantees | IEEE Transactions on Control of Network Systems | Carmen Amo Alonso Jing Shuang Li Nikolai Matni James Anderson | 2023/3/28 |
Safety filter design for neural network systems via convex optimization | Shaoru Chen Kong Yao Chee Nikolai Matni M Ani Hsieh George J Pappas | 2023/12/13 | |
Visual backtracking teleoperation: A data collection protocol for offline image-based reinforcement learning | David Brandfonbrener Stephen Tu Avi Singh Stefan Welker Chad Boodoo | 2023/5/29 | |
A data-driven approach to synthesizing dynamics-aware trajectories for underactuated robotic systems | Anusha Srikanthan Fengjun Yang Igor Spasojevic Dinesh Thakur Vijay Kumar | 2023/10/1 | |
Toward certified robustness against real-world distribution shifts | Haoze Wu* Teruhiro Tagomori* Alexander Robey* Fengjun Yang* Nikolai Matni | 2022/6/8 | |
The fundamental limitations of learning linear-quadratic regulators | Bruce D Lee Ingvar Ziemann Anastasios Tsiamis Henrik Sandberg Nikolai Matni | 2023/12/13 | |
Performance-Robustness Tradeoffs in Adversarially Robust Control and Estimation | Bruce D Lee Thomas TCK Zhang Hamed Hassani Nikolai Matni | 2022/12/6 | |
Learning Safe and Stable Motion Plans with Neural Ordinary Differential Equations | arXiv preprint arXiv:2308.00186 | Farhad Nawaz Tianyu Li Nikolai Matni Nadia Figueroa | 2023/7/31 |
Co-Authors
