Clemens Hutter
Note: Clemens Hutter is no longer with our group.
Publications
- Journal Papers and Manuscripts
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Metric-entropy limits on the approximation of nonlinear dynamical systems
Y. Pan, C. Hutter, and H. Bölcskei, Information Theory, Probability and Statistical Learning: A Festschrift in Honor of Andrew Barron, Springer, 2025, to appear, (invited paper). -
A quantifier-reversal approximation paradigm for
recurrent neural networks
C. Hutter, V. Abadie, and H. Bölcskei, Neural Networks, Nov. 2025, submitted. -
Profiling Daily Life Performance Recovery in the Early Subacute Phase After Stroke Using a Graphical Modeling Approach
J. Veerbeek, C. Hutter, B. Ottiger, S. Micheletti, S. Riedi, E. Bianchi, N. Maaijwee, T. Vanbellingen, and T. Nyffeler, Toggle the table of contents Journal of the American Heart Association, pp. 33, Aug. 2023. -
Metric entropy limits on recurrent neural network learning of linear dynamical systems
C. Hutter, R. Gül, and H. Bölcskei, Applied and Computational Harmonic Analysis, Vol. 59, pp. 198-223, July 2022, (invited paper). -
Knowledge transfer across cell lines using hybrid gaussian process models with entity embedding vectors
C. Hutter, M. von Stosch, M. N. Cruz Bournazou, and A. Butté, Biotechnology and Bioengineering, Aug. 2021.
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Metric-entropy limits on the approximation of nonlinear dynamical systems
- Conference, Symposium, and Workshop Papers
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Automated digitization of paper ECG records using convolutional networks: a Faster R-CNN and U-Net approach
H. Shang, C. Hutter, and Y. Zhang, CinC 2024, Oct. 2024.
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Automated digitization of paper ECG records using convolutional networks: a Faster R-CNN and U-Net approach
Supervised Theses
- Diploma Theses
- Nazari, Philipp, "Why do Neural Networks Generalize?," Fall semester 2024
Supervisor(s): Clemens Hutter - Pan, Yang, "Metric Entropy Limits on Recurrent Neural Network Learning for Lipschitz Fading Memory Systems," Fall semester 2023
Supervisor(s): Clemens Hutter
- Nazari, Philipp, "Why do Neural Networks Generalize?," Fall semester 2024
- Student Projects
- Giorgis, Giovanni Michele, "Approximation rates of transformer networks," Spring semester 2024
Supervisor(s): Clemens Hutter - Hultberg, Bror, "Metric Entropy of Hypoelliptic Operators," Spring semester 2024
Supervisor(s): Thomas Allard, Clemens Hutter - Pan, Yang, "Metric-Entropy-Optimal RNN for Lipschitz Fading Memory System," Fall semester 2022
Supervisor(s): Clemens Hutter
- Giorgis, Giovanni Michele, "Approximation rates of transformer networks," Spring semester 2024
- Bachelor Theses
- Bührer, Simon, "ClassFormer: Transformers for Multivariate Time Series Classification," Fall semester 2023
Supervisor(s): Clemens Hutter - Gutjahr, Sven, "Automatic Synopsis Generation from Amendment Proposals for German Law," Spring semester 2022
Supervisor(s): Clemens Hutter - Menet, Nicolas, "Metric Entropy Optimal Identification of Discrete-Time Linear Time-Varying Systems," Fall semester 2021
Supervisor(s): Clemens Hutter
- Bührer, Simon, "ClassFormer: Transformers for Multivariate Time Series Classification," Fall semester 2023