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Sebastian Becker
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2020 – today
- 2024
- [c9]Sebastian Becker, Marcel Altendeitering:
Interoperable Open Data Platforms: A Prototype for Sharing CKAN Data Sources. DATA 2024: 486-493 - 2023
- [j8]Christian Beck, Sebastian Becker, Patrick Cheridito, Arnulf Jentzen, Ariel Neufeld:
An efficient Monte Carlo scheme for Zakai equations. Commun. Nonlinear Sci. Numer. Simul. 126: 107438 (2023) - 2022
- [i8]Sebastian Becker, Arnulf Jentzen, Marvin S. Müller, Philippe von Wurstemberger:
Learning the random variables in Monte Carlo simulations with stochastic gradient descent: Machine learning for parametric PDEs and financial derivative pricing. CoRR abs/2202.02717 (2022) - [i7]Victor Boussange, Sebastian Becker, Arnulf Jentzen, Benno Kuckuck, Loïc Pellissier:
Deep learning approximations for non-local nonlinear PDEs with Neumann boundary conditions. CoRR abs/2205.03672 (2022) - [i6]Christian Beck, Sebastian Becker, Patrick Cheridito, Arnulf Jentzen, Ariel Neufeld:
An efficient Monte Carlo scheme for Zakai equations. CoRR abs/2210.13530 (2022) - 2021
- [j7]Christian Beck, Sebastian Becker, Philipp Grohs, Nor Jaafari, Arnulf Jentzen:
Solving the Kolmogorov PDE by Means of Deep Learning. J. Sci. Comput. 88(3): 73 (2021) - [j6]Andrea Crema, Ivan Furfaro, Flavio Raschellà, Mauro Rossini, Johannes Zajc, Constantin Wiesener, Walter Baccinelli, Davide Proserpio, Andreas Augsten, Nancy Immick, Sebastian Becker, Matthias Weber, Thomas Schauer, Karsten Krakow, Giulio Gasperini, Franco Molteni, Michael Friedrich Russold, Maria Bulgheroni, Silvestro Micera:
Reactive Exercises with Interactive Objects: Interim Analysis of a Randomized Trial on Task-Driven NMES Grasp Rehabilitation for Subacute and Early Chronic Stroke Patients. Sensors 21(20): 6739 (2021) - [j5]Christian Beck, Sebastian Becker, Patrick Cheridito, Arnulf Jentzen, Ariel Neufeld:
Deep Splitting Method for Parabolic PDEs. SIAM J. Sci. Comput. 43(5): A3135-A3154 (2021) - 2020
- [c8]Stefan Küchemann, Pascal Klein, Sebastian Becker, Niharika Kumari, Jochen Kuhn:
Classification of Students' Conceptual Understanding in STEM Education using Their Visual Attention Distributions: A Comparison of Three Machine-Learning Approaches. CSEDU (1) 2020: 36-46 - [c7]Stefan Küchemann, Sebastian Becker, Pascal Klein, Jochen Kuhn:
Gaze-Based Prediction of Students' Understanding of Physics Line-Graphs: An Eye-Tracking-Data Based Machine-Learning Approach. CSEDU (Selected Papers) 2020: 450-467 - [i5]Sebastian Becker, Ramon Braunwarth, Martin Hutzenthaler, Arnulf Jentzen, Philippe von Wurstemberger:
Numerical simulations for full history recursive multilevel Picard approximations for systems of high-dimensional partial differential equations. CoRR abs/2005.10206 (2020) - [i4]Christian Beck, Sebastian Becker, Patrick Cheridito, Arnulf Jentzen, Ariel Neufeld:
Deep learning based numerical approximation algorithms for stochastic partial differential equations and high-dimensional nonlinear filtering problems. CoRR abs/2012.01194 (2020)
2010 – 2019
- 2019
- [j4]Sebastian Becker, Patrick Cheridito, Arnulf Jentzen:
Deep Optimal Stopping. J. Mach. Learn. Res. 20: 74:1-74:25 (2019) - [j3]Sebastian Becker, Sylvie C. F. A. von Werder, A.-K. Lassek, Catherine Disselhorst-Klug:
Time-frequency coherence of categorized sEMG data during dynamic contractions of biceps, triceps, and brachioradialis as an approach for spasticity detection. Medical Biol. Eng. Comput. 57(3): 703-713 (2019) - [j2]Emilia Ambrosini, Michael Friedrich Russold, Margit Gföhler, Markus Puchinger, Matthias Weber, Sebastian Becker, Karsten Krakow, Nancy Immick, Andreas Augsten, Mauro Rossini, Davide Proserpio, Johannes Zajc, Giulio Gasperini, Franco Molteni, Alessandra Pedrocchi, Simona Ferrante, Giancarlo Ferrigno, S. Dalla Gasperina, Maria Bulgheroni, Walter Baccinelli, Thomas Schauer, Constantin Wiesener:
A Hybrid Robotic System for Arm Training of Stroke Survivors: Concept and First Evaluation. IEEE Trans. Biomed. Eng. 66(12): 3290-3300 (2019) - [i3]Christian Beck, Sebastian Becker, Patrick Cheridito, Arnulf Jentzen, Ariel Neufeld:
Deep splitting method for parabolic PDEs. CoRR abs/1907.03452 (2019) - [i2]Sebastian Becker, Patrick Cheridito, Arnulf Jentzen, Timo Welti:
Solving high-dimensional optimal stopping problems using deep learning. CoRR abs/1908.01602 (2019) - 2018
- [c6]Alberto Isaac Pérez-SanPablo, Elisa Romero Avila, Alicia Meneses Peñaloza, Catherine Disselhorst-Klug, Sebastian Becker, Juan Manuel Ibarra Zannatha, Josefina Gutiérrez-Martínez:
Position-Velocity Categorization of Time-Frequency Coherence for the Analysis of Muscle Coordination Dynamics of Elbow Joint During Low Force Movements in Healthy Children. CCE 2018: 1-6 - [i1]Christian Beck, Sebastian Becker, Philipp Grohs, Nor Jaafari, Arnulf Jentzen:
Solving stochastic differential equations and Kolmogorov equations by means of deep learning. CoRR abs/1806.00421 (2018) - 2017
- [c5]Emilia Ambrosini, Simona Ferrante, Johannes Zajc, Maria Bulgheroni, Walter Baccinelli, Enrico d'Amico, Thomas Schauer, Constantin Wiesener, Michael Friedrich Russold, Margit Gföhler, Markus Puchinger, Matthias Weber, Sebastian Becker, Karsten Krakow, Mauro Rossini, Davide Proserpio, Giulio Gasperini, Franco Molteni, Giancarlo Ferrigno, Alessandra Pedrocchi:
The combined action of a passive exoskeleton and an EMG-controlled neuroprosthesis for upper limb stroke rehabilitation: First results of the RETRAINER project. ICORR 2017: 56-61 - 2016
- [j1]Sebastian Becker, Arnulf Jentzen, Peter E. Kloeden:
An Exponential Wagner-Platen Type Scheme for SPDEs. SIAM J. Numer. Anal. 54(4): 2389-2426 (2016) - 2014
- [c4]Sven Strickroth, Michael Striewe, Oliver Müller, Uta Priss, Sebastian Becker, Oliver J. Bott, Niels Pinkwart:
Wiederverwendbarkeit von Programmieraufgaben durch Interoperabilität von Programmierlernsystemen. DeLFI 2014: 97-108 - [c3]Andreas Stöcker, Sebastian Becker, Robert Garmann, Felix Heine, Carsten Kleiner, Peter Werner, Sören Grzanna, Oliver J. Bott:
Die Evaluation generischer Einbettung automatisierter Programmbewertung am Beispiel von Moodle und aSQLg. DeLFI 2014: 301-304 - 2013
- [c2]Sebastian Becker, Andreas Stöcker, Daniel Bräckelmann, Robert Garmann, Sören Grzanna, Felix Heine, Carsten Kleiner, Peter Werner, Oliver J. Bott:
Prototypische Integration automatisierter Programmbewertung in das LMS Moodle. ABP 2013 - [c1]Andreas Stöcker, Sebastian Becker, Robert Garmann, Felix Heine, Carsten Kleiner, Oliver J. Bott:
Evaluation automatisierter Programmbewertung bei der Vermittlung der Sprachen Java und SQL mit den Gradern "aSQLg" und "Graja" aus studentischer Perspektive.. DeLFI 2013: 233-238
Coauthor Index
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last updated on 2024-09-13 00:43 CEST by the dblp team
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