Prof. Dr. Hans-Peter Beise

Zeitschriftenbeiträge

• H.-P. Beise, On Unstable Fixed Points in Modern Continuous Hopfield Networks, (accepted) Journal of Mathematical Analysis and Applications (2026)
• M. Albared, M. Stüber, H.-P. Beise, How confident and reliable are deep learning models for streamflow prediction under flood conditions, Natural Hazards (2025)
• H.-P. Beise, S. Dias Da Cruz, Topological properties of basins of attraction of width bounded autoencoders, Analysis and Applications (2024)
• D. Gasperini, H.-P. Beise, U. Schröeder, X.Antoine, C. Geuzaine, An analysis of the steepest descent method to efficiently compute the 3D acoustic single-layer operator in the high-frequency regime, IMA Journal of Numerical Analysis (2022)
• D. Gasperini, H.-P. Beise, U. Schröeder, X.Antoine, C. Geuzaine, A multi-harmonic finite element method for scattering problems with small-amplitude boundary deformations, SIAM Journal on Scientific Computing, (2022) 44(2): B197-B223
• J. Sokolowski, V. Schulz, U. Schröder, and H.-P. Beise: A Hybrid Objective Function for Robustness of Artificial Neural Networks -- Estimation of Parameters in a Mechanical System., Electronic Transactions on Numerical Analysis 56 (2022) (ETNA)
• H.-P. Beise,  L. Frerick and J. Müller, Mixing operators with prescribed unimodular eigenvalues, Ergodic Theory and Dynamical Systems 42.1 (2022): 1-8
• H.-P. Beise, S. Dias Da Cruz, U. Schröder, On decision regions of narrow deep neural networks,  Neural Networks 140: (2021): 121-129
• D. Gasperini, X. Antoine, C. Geuzaine, H.-P. Beise, U. Schroeder, A frequency domain method for scattering problems with moving boundaries, Wave Motion 102 (2021): 102717
• S. Dias Da Cruz, H.-P. Beise, U. Schröder and U. Karahasanovic, A Theoretical Investigation of the Detection of Vital Signs in Presence of Car Vibrations and RADAR-Based Passenger Classification, IEEE Transactions on Vehicular Technology, 68(4): 3374-3385, (2019)
• H.-P. Beise and J. Müller. Generic boundary behaviour of Taylor series in Hardy and Bergman spaces. Mathematische Zeitschrift 284.3-4 (2016): 1185-1197.
• H.-P. Beise, T. Meyrath, and J. Müller. Mixing Taylor shifts and universal Taylor series. Bulletin of the London Mathematical Society 47.1 (2015): 136-142.
• H.-P. Beise,  On the intersection of the spectrum of frequently hypercyclic operators with the unit circle. Journal of Operator Theory 72.2 (2014): 329-342.
• H.-P. Beise, T. Meyrath, and J. Müller. Limit functions of discrete dynamical systems. Conformal Geometry and Dynamics of the American Mathematical Society 18.4 (2014): 56-64.
• H.-P. Beise, Growth of frequently Birkhoff-universal functions of exponential type on rays. Computational Methods and Function Theory 13.1 (2013): 21-35.
• H.-P. Beise and J. Müller. Limit functions of iterates of entire functions on parts of the Julia set. Proceedings of the American Mathematical Society 141.11 (2013): 3929-3933.
• H.-P. Beise and J. Müller. Growth of (frequently) hypercyclic functions for differential operators, Studia Math., 207 (2011): 97-115.
• H.-P. Beise,  T. Meyrath and J. Müller. Universality properties of Taylor series inside the domain of holomorphy. J. Math. Anal. Appl 383.1 (2011): 234-238.

Konferenzbeiträge

• A. Seitz, F.  Liebgott, D. Rotter, D. Kessler, H.-P. Beise, Comparision of Active Learning and Self-Training as Adaptation Strategies for Robust Classification in a Dynamic ProductionEnvironment, Stuttgart Conference on Automotive Production (2025)
• C. Vieira, V. Lücken, A. Diewald, H.-P. Beise, Steering-layer: A hybrid DSP-machine learning layer for sensor DoA estimation. GeMiC (2024)
• N. Schuler, M. Hoffmann, H.-P. Beise, R. Bergmann, Semi-supervised Similarity Learning in Process-Oriented Case-Based Reasoning, SGAI (2023)
• A. Seitz, F.  Liebgott, D. Rotter, D. Kessler, H.-P. Beise.  Enabling Single-Sensor Simultaneous Condition Monitoring of Several Vibration-Emitting Machine Parts Using Neural Networks. In Stuttgart Conference on Automotive Production (2022)
• S. Dias Da Cruz, O. Wasenmüller, H.-P. Beise, T. Stifter, D. Stricker, SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark, WACV (2020)
• S. Dias Da Cruz, H.-P. Beise, U.  Schröder, U. Karahasanovic.  Detection of Vital Signs in Presence of Car Vibrations and RADAR-Based Passenger Classification. In 2018 19th International Radar Symposium (IRS) (pp. 1-10). IEEE.
• U. Karahasanovic., T. Stifter, H.-P. Beise, A. Fox, D. Tatarinov,  Mathematical Modelling and Simulations of Complex Breathing Patterns Detected by RADAR Sensors. In 2018 19th International Radar Symposium (IRS) (pp. 1-10). IEEE.
• H.-P. Beise T. Stifter, U. Schröder. Virtual interference study for FMCW and PMCW radar. Microwave Conference (GeMiC), 2018 11th German. IEEE, 2018.

Patentanmeldungen

• Time and frequency synchronization for spread radar systems (EP3559693A1), veröffentlicht 30.10.2019 (mit Udo Schröder)
• Direction of arrival estimation for automotive spread radar systems (EP3552040A1), veröffentlicht 16.10.2019 (mit Udo Schröder und Thomas Stifter)
• Radar-based passenger classification and monitoring (WO2018224612A1), veröffentlicht 07.06.2019 (mit Udo Schröder, Steve Dias Da Cruz und Una Karahasanovic)
• Radar system operating method and radar system having improved range resolution by mutually delayed orthogonal codes (WO2019105922A1), veröffentlicht 06.06.2019
• Method and system for target detection, and vehicle incorporating same (WO2019012098A1), veröffentlicht 17.01.2019 (mit Udo Schröder und Thomas Stifter)
• System and method for radar-based determination of a number of passengers inside a vehicle passenger compartmen (WO2019012099A1), veröffentlicht 17.01.2019 (mit Steve Dias Da Cruz und Una Karahasanovic)
• Interference mitigation in automotive radar systems by artificial doppler modulation (WO2018188972A1), veröffentlicht 18.10.2018 (mit Udo Schröder und Thomas Stifter)
• Radar sensor system for breathing monitoring and corresponding method (WO2018185031A1), veröffentlicht 11.10.2018, (mit Una Karahasanovic, Dimitri Tatarinov, Thomas Stifter, Andreas Fox, Jochen Landwehr, Oscar Gomez, Muhammad-Zeeshan Khan)
• Adaptive signal threshold for triggering a kicker detection (DE112016003831T5), veröffentlicht 24.05.2018 (mit Johann Bar, Baptiste Anit und Thomas Stifter)