Sebastian Becker

Orcid: 0000-0001-9188-438X

According to our database1, Sebastian Becker authored at least 22 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
An efficient Monte Carlo scheme for Zakai equations.
Commun. Nonlinear Sci. Numer. Simul., November, 2023

2022
Deep learning approximations for non-local nonlinear PDEs with Neumann boundary conditions.
CoRR, 2022

Learning the random variables in Monte Carlo simulations with stochastic gradient descent: Machine learning for parametric PDEs and financial derivative pricing.
CoRR, 2022

2021
Deep Splitting Method for Parabolic PDEs.
SIAM J. Sci. Comput., 2021

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, 2021

Solving the Kolmogorov PDE by Means of Deep Learning.
J. Sci. Comput., 2021

2020
Deep learning based numerical approximation algorithms for stochastic partial differential equations and high-dimensional nonlinear filtering problems.
CoRR, 2020

Numerical simulations for full history recursive multilevel Picard approximations for systems of high-dimensional partial differential equations.
CoRR, 2020

Gaze-Based Prediction of Students' Understanding of Physics Line-Graphs: An Eye-Tracking-Data Based Machine-Learning Approach.
Proceedings of the Computer Supported Education - 12th International Conference, 2020

Classification of Students' Conceptual Understanding in STEM Education using Their Visual Attention Distributions: A Comparison of Three Machine-Learning Approaches.
Proceedings of the 12th International Conference on Computer Supported Education, 2020

2019
A Hybrid Robotic System for Arm Training of Stroke Survivors: Concept and First Evaluation.
IEEE Trans. Biomed. Eng., 2019

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., 2019

Deep Optimal Stopping.
J. Mach. Learn. Res., 2019

Solving high-dimensional optimal stopping problems using deep learning.
CoRR, 2019

2018
Solving stochastic differential equations and Kolmogorov equations by means of deep learning.
CoRR, 2018

Position-Velocity Categorization of Time-Frequency Coherence for the Analysis of Muscle Coordination Dynamics of Elbow Joint During Low Force Movements in Healthy Children.
Proceedings of the 15th International Conference on Electrical Engineering, 2018

2017
The combined action of a passive exoskeleton and an EMG-controlled neuroprosthesis for upper limb stroke rehabilitation: First results of the RETRAINER project.
Proceedings of the International Conference on Rehabilitation Robotics, 2017

2016
An Exponential Wagner-Platen Type Scheme for SPDEs.
SIAM J. Numer. Anal., 2016

2014
Wiederverwendbarkeit von Programmieraufgaben durch Interoperabilität von Programmierlernsystemen.
Proceedings of the DeLFI 2014, 2014

Die Evaluation generischer Einbettung automatisierter Programmbewertung am Beispiel von Moodle und aSQLg.
Proceedings of the DeLFI 2014, 2014

2013
Evaluation automatisierter Programmbewertung bei der Vermittlung der Sprachen Java und SQL mit den Gradern "aSQLg" und "Graja" aus studentischer Perspektive..
Proceedings of the DeLFI 2013, 2013

Prototypische Integration automatisierter Programmbewertung in das LMS Moodle.
Proceedings of the First Workshop "Automatische Bewertung von Programmieraufgaben" (ABP 2013), 2013


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