| Poster # | Paper # | Authors | Paper Title |
| 1 | 48 | Miguel Jaques, Martin Asenov, Michael Burke and Timothy Hospedales | Vision-based system identification and 3D keypoint discovery using dynamics constraints |
| 2 | 76 | Weiming Zhi, Tin Lai, Lionel Ott and Fabio Ramos | Diffeomorphic Transforms for Generalised Imitation Learning |
| 3 | 27 | Simon Muntwiler, Kim P. Wabersich and Melanie N. Zeilinger | Learning-based Moving Horizon Estimation through Differentiable Convex Optimization Layers |
| 4 | 24 | Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt and Justin Bayer | Tracking and Planning with Spatial World Models |
| 5 | 36 | Brendon G. Anderson and Somayeh Sojoudi | Certified Robustness via Locally Biased Randomized Smoothing |
| 6 | 124 | Zihao Zhou, Xingyi Yang, Ryan Rossi, Handong Zhao and Rose Yu | Neural Point Process for Learning Spatiotemporal Event Dynamics |
| 7 | 184 | Udaya Ghai, Xinyi Chen, Elad Hazan and Alexandre Megretski | Robust Online Control with Model Misspecification |
| 8 | 44 | Samuel Pfrommer, Tanmay Gautam, Alec Zhou and Somayeh Sojoudi | Safe Reinforcement Learning with Chance-constrained Model Predictive Control |
| 9 | 26 | Nicola Bastianello, Andrea Simonetto and Emiliano Dall’Anese | OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression |
| 10 | 122 | Ameneh Nejati, Bingzhuo Zhong, Marco Caccamo and Majid Zamani | Data-Driven Controller Synthesis of Unknown Nonlinear Polynomial Systems via Control Barrier Certificates |
| 11 | 98 | Benjamin Gravell, Iman Shames and Tyler Summers | Robust Data-Driven Output Feedback Control via Bootstrapped Multiplicative Noise |
| 12 | 132 | Ross Drummond, Stephen Duncan, Mathew Turner, Patricia Pauli and Frank Allgower | Bounding the difference between model predictive control and neural networks |
| 13 | 138 | Zhigen Zhao, Simiao Zuo, Tuo Zhao and Ye Zhao | Adversarially Regularized Policy Learning Guided by Trajectory Optimization |
| 14 | 95 | Nima Eshraghi and Ben Liang | Improving Dynamic Regret in Distributed Online Mirror Descent Using Primal and Dual Information |
| 15 | 39 | Liliaokeawawa Cothren, Gianluca Bianchin and Emiliano Dall’Anese | Data-enabled Gradient Flow as Feedback Controller: Regulation of Linear Dynamical Systems to Minimizers of Unknown Functions |
| 16 | 57 | Jingrong Wang and Ben Liang | Gradient and Projection Free Distributed Online Min-Max Resource Optimization |
| 17 | 133 | Milad Farsi, Yinan Li, Ye Yuan and Jun Liu | A Piecewise Learning Framework for Control of Nonlinear Systems with Stability Guarantees |
| 18 | 164 | Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi and Mario di Bernardo | Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control |
