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2020 – today
- 2024
[j7]Rahel Rickenbach
, Johannes Köhler, Anna Scampicchio, Melanie N. Zeilinger, Andrea Carron:
Active Learning-Based Model Predictive Coverage Control. IEEE Trans. Autom. Control. 69(9): 5931-5946 (2024)- [c7]Rahel Rickenbach, Anna Scampicchio, Melanie N. Zeilinger:
Inverse optimal control as an errors-in-variables problem. L4DC 2024: 375-386 - [i4]Anna Scampicchio, Melanie N. Zeilinger:
Data-driven control of input-affine systems: the role of the signature transform. CoRR abs/2409.05685 (2024) - 2023
- [j6]Anna Scampicchio, Elena Arcari, Melanie N. Zeilinger:
Error Analysis of Regularized Trigonometric Linear Regression With Unbounded Sampling: A Statistical Learning Viewpoint. IEEE Control. Syst. Lett. 7: 3066-3071 (2023) - [j5]Anna Scampicchio, Mauro Bisiacco, Gianluigi Pillonetto:
Kernel-based learning of orthogonal functions. Neurocomputing 545: 126237 (2023) - [j4]Elena Arcari, Maria Vittoria Minniti, Anna Scampicchio, Andrea Carron, Farbod Farshidian, Marco Hutter, Melanie N. Zeilinger:
Bayesian Multi-Task Learning MPC for Robotic Mobile Manipulation. IEEE Robotics Autom. Lett. 8(6): 3222-3229 (2023) - [c6]Enea Monzio Compagnoni, Anna Scampicchio, Luca Biggio, Antonio Orvieto, Thomas Hofmann, Josef Teichmann:
On the effectiveness of Randomized Signatures as Reservoir for Learning Rough Dynamics. IJCNN 2023: 1-8 - [i3]Rahel Rickenbach, Johannes Köhler, Anna Scampicchio, Melanie N. Zeilinger, Andrea Carron:
Active Learning-based Model Predictive Coverage Control. CoRR abs/2303.09910 (2023) - [i2]Rahel Rickenbach, Anna Scampicchio, Melanie N. Zeilinger:
Inverse Optimal Control as an Errors-in-Variables Problem. CoRR abs/2312.03532 (2023) - 2022
- [j3]Giacomo Baggio, Algo Carè, Anna Scampicchio, Gianluigi Pillonetto:
Bayesian frequentist bounds for machine learning and system identification. Autom. 146: 110599 (2022) - [j2]Gianluigi Pillonetto, Anna Scampicchio:
Sample Complexity and Minimax Properties of Exponentially Stable Regularized Estimators. IEEE Trans. Autom. Control. 67(5): 2330-2342 (2022) - [c5]Anna Scampicchio, Andrea Iannelli:
An update-and-design scheme for scenario-based LQR synthesis. ACC 2022: 932-939 - [i1]Elena Arcari, Maria Vittoria Minniti, Anna Scampicchio, Andrea Carron, Farbod Farshidian, Marco Hutter, Melanie N. Zeilinger:
Bayesian Multi-Task Learning MPC for Robotic Mobile Manipulation. CoRR abs/2211.10270 (2022) - 2021
- [j1]Anna Scampicchio, Aleksandr Y. Aravkin, Gianluigi Pillonetto:
Stable and robust LQR design via scenario approach. Autom. 129: 109571 (2021) - [c4]Elena Arcari, Anna Scampicchio, Andrea Carron, Melanie N. Zeilinger:
Bayesian multi-task learning using finite-dimensional models: A comparative study. CDC 2021: 2218-2225 - 2020
- [c3]Anna Scampicchio, Gianluigi Pillonetto:
A convex approach to robust LQR. CDC 2020: 3705-3710
2010 – 2019
- 2019
- [c2]Anna Scampicchio, Alessandro Chiuso, Simone Formentin, Gianluigi Pillonetto:
Bayesian Kernel-Based Linear Control Design. CDC 2019: 822-827 - 2018
- [c1]Anna Scampicchio, Gianluigi Pillonetto:
A New Model Selection Approach to Hybrid Kernel-Based Estimation. CDC 2018: 3068-3073
Coauthor Index
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