Dr.-Ing. Christopher Mutschler

Machine Learning and Data Analytics Lab Department Artificial Intelligence in Biomedical Engineering (AIBE) Lehrstuhl für Informatik 2 (Programmiersysteme)

IALE: Imitating Active Learner Ensembles (2022) Löffler C, Mutschler C Journal article, Original article An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility (2022) Schmidt LM, Brosig J, Plinge A, Eskofier B, Mutschler C Conference contribution How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies (2022) Schmidt LM, Rietsch S, Plinge A, Eskofier B, Mutschler C Conference contribution Joint Classification and Trajectory Regression of Online Handwriting using a Multi-Task Learning Approach (2022) Ott F, Ruegamer D, Heublein L, Bischl B, Mutschler C Conference contribution Hierarchical learning for model predictive collision avoidance (2022) Landgraf D, Völz A, Kontes G, Graichen K, Mutschler C Conference contribution Contact Tracing with the Exposure Notification Framework in the German Corona-Warn-App (2021) Meyer S, Windisch T, Perl A, Dzibela D, Marzilger R, Witt N, Benzler J, et al. Conference contribution, Conference Contribution Accuracy-Aware Compression of Channel Impulse Responses using Deep Learning (2021) Altstidl TR, Kram S, Herrmann O, Stahlke M, Feigl T, Mutschler C Conference contribution, Conference Contribution Robust ToA-Estimation using Convolutional Neural Networks on Randomized Channel Models (2021) Feigl T, Eberlein E, Kram S Conference contribution, Conference Contribution Estimating TOA Reliability with Variational Autoencoders (2021) Stahlke M, Kram S, Ott F, Feigl T, Mutschler C Journal article, Original article Real-Time Gait Reconstruction for Virtual Reality Using a Single Sensor (2020) Feigl T, Gruner L, Mutschler C, Roth D Conference contribution, Conference Contribution