Poster session 1: Monday 15:00 – 17:00

1. Adaptive Robust L2 Loss Function using Fractional Calculus  Kurucu, Kumbasar, Guzelkaya, Eksin
2. A Systems-Theoretic Approach to Event-Based Distributed Learning  Er, Trimpe, Muehlebach
3. Control methods for estimating the Lipschitz constant of 2-D convolutional neural networks  Pauli, Gramlich, Allgöwer
4. Control Theoretic Approach to Fine-Tuning and Transfer Learning  Bayram, Liu, Belabbas, Başar
5. Learning Bounds on Computational Values in Iterative Methods using Reachability Analysis  Verma, McInerney, Renson
6. On uncertainty quantification in the behavioral framework Alsalti, Barkey, Lopez, Müller
7. Predictive Control for Disturbance Rejection using a Data-Driven Kalman Filter  Smith, Abdalmoaty, Yin
8. Robust Statistical Fault Detection Under Distribution Ambiguity  Wan, Xu
9. Safe Guaranteed Exploration for Non-linear Systems  Prajapat, Köhler, Turchetta, Krause, Zeilinger
10. Safety in safe Bayesian optimization and its ramifications for control  Fiedler, Menn, Trimpe
11. Set-based secure state estimator for linear systems with adversarial attacks on sensors  Niazi, Chong, Alanwar, Johansson
12. Sparse reconstruction of forces, torques and velocity signals for a swimmer in a wake  Gushkov, Hoff, Orucevic, Pettersen, Gravdahl
13. Structured Neural Networks for Learning Surrogate Losses and Stable Dynamics  Wang, Manchester
14. Targeted exploration for non-stochastic disturbances  Venkatasubramanian, Köhler, Cannon, Allgöwer
15. Variance-Informed Model Reference Gaussian Process Regression: Utilizing Variance Information for Control in Nonlinear Systems  Kim