Nikolai Matni
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
10
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SIGCOMM | Near-optimal Online Traffic Engineering. | Arvin Ghavidel, Pooria Namyar, Nikolai Matni, Walter Willinger, Ramesh Govindan |
| 2025 | AAAI | Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control. | Bruce D. Lee, Leonardo F. Toso, Thomas T. Zhang, James Anderson, Nikolai Matni |
| 2025 | ICML | On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning. | Thomas T. C. K. Zhang, Behrad Moniri, Ansh Nagwekar, Faraz Rahman, Anton Xue, Hamed Hassani, Nikolai Matni |
| 2025 | ICRA | Vision Transformers for End-to-End Vision-Based Quadrotor Obstacle Avoidance. | Anish Bhattacharya, Nishanth Rao, Dhruv Parikh, Pratik Kunapuli, Yuwei Wu, Yuezhan Tao, Nikolai Matni, Vijay Kumar |
| 2025 | ICRA | ADMM-MCBF-LCA: A Layered Control Architecture for Safe Real-Time Navigation. | Anusha Srikanthan, Yifan Xue, Vijay Kumar, Nikolai Matni, Nadia Figueroa |
| 2024 | CoRL | Monocular Event-Based Vision for Obstacle Avoidance with a Quadrotor. | Anish Bhattacharya, Marco Cannici, Nishanth Rao, Yuezhan Tao, Vijay Kumar, Nikolai Matni, Davide Scaramuzza |
| 2024 | ICLR | Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data. | Thomas T. C. K. Zhang, Leonardo Felipe Toso, James Anderson, Nikolai Matni |
| 2024 | ICML | Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples. | Thomas T. C. K. Zhang, Bruce D. Lee, Ingvar M. Ziemann, George J. Pappas, Nikolai Matni |
| 2024 | ICML | Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss. | Ingvar M. Ziemann, Stephen Tu, George J. Pappas, Nikolai Matni |
| 2024 | ICRA | Learning Complex Motion Plans using Neural ODEs with Safety and Stability Guarantees. | Farhad Nawaz, Tianyu Li, Nikolai Matni, Nadia Figueroa |
| 2024 | IROS | Reactive Temporal Logic-based Planning and Control for Interactive Robotic Tasks. | Farhad Nawaz, Shaoting Peng, Lars Lindemann, Nadia Figueroa, Nikolai Matni |
| 2024 | IROS | Uncertainty-Aware Deployment of Pre-trained Language-Conditioned Imitation Learning Policies. | Bo Wu, Bruce D. Lee, Kostas Daniilidis, Bernadette Bucher, Nikolai Matni |
| 2024 | WACV | EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields. | Anish Bhattacharya, Ratnesh Madaan, Fernando Cladera Ojeda, Sai Vemprala, Rogerio Bonatti, Kostas Daniilidis, Ashish Kapoor, Vijay Kumar, Nikolai Matni, Jayesh K. Gupta |
| 2023 | ICML | The Power of Learned Locally Linear Models for Nonlinear Policy Optimization. | Daniel Pfrommer, Max Simchowitz, Tyler Westenbroek, Nikolai Matni, Stephen Tu |
| 2023 | ICRA | Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning. | David Brandfonbrener, Stephen Tu, Avi Singh, Stefan Welker, Chad Boodoo, Nikolai Matni, Jake Varley |
| 2023 | IROS | A Data-Driven Approach to Synthesizing Dynamics-Aware Trajectories for Underactuated Robotic Systems. | Anusha Srikanthan, Fengjun Yang, Igor Spasojevic, Dinesh Thakur, Vijay Kumar, Nikolai Matni |
| 2022 | COLT | Learning to Control Linear Systems can be Hard. | Anastasios Tsiamis, Ingvar M. Ziemann, Manfred Morari, Nikolai Matni, George J. Pappas |
| 2022 | COLT | Single Trajectory Nonparametric Learning of Nonlinear Dynamics. | Ingvar M. Ziemann, Henrik Sandberg, Nikolai Matni |
| 2022 | ICRA | Uncertainty-driven Planner for Exploration and Navigation. | Georgios Georgakis, Bernadette Bucher, Anton Arapin, Karl Schmeckpeper, Nikolai Matni, Kostas Daniilidis |
| 2021 | IROS | An Adversarial Objective for Scalable Exploration. | Bernadette Bucher, Karl Schmeckpeper, Nikolai Matni, Kostas Daniilidis |
| 2020 | CoRL | Learning Stability Certificates from Data. | Nicholas M. Boffi, Stephen Tu, Nikolai Matni, Jean-Jacques E. Slotine, Vikas Sindhwani |
| 2020 | CoRL | Learning Hybrid Control Barrier Functions from Data. | Lars Lindemann, Haimin Hu, Alexander Robey, Hanwen Zhang, Dimos V. Dimarogonas, Stephen Tu, Nikolai Matni |
| 2020 | ICLR | PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction. | Sangdon Park, Osbert Bastani, Nikolai Matni, Insup Lee |
| 2020 | IROS | Robust, Perception Based Control with Quadrotors. | Laura Jarin-Lipschitz, Rebecca Li, Ty Nguyen, Vijay Kumar, Nikolai Matni |
| 2017 | SIGMETRICS | HFTraC: High-Frequency Traffic Control. | Ning Wu, Yingjie Bi, Nithin Michael, Ao Tang, John Doyle, Nikolai Matni |
| 2014 | ICRA | Convex relaxations of SE(2) and SE(3) for visual pose estimation. | Matanya B. Horowitz, Nikolai Matni, Joel W. Burdick |