Johannes Maucher

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 27

Top Venues

CoRR

NeSy

KI (Workshops)

SLSP

University of Ulm, Germany (PHD)

Education History

University of Ulm, Germany

PHD

Publications

Leon Eisemann, Johannes Maucher
Automatic Odometry-Less OpenDRIVE Generation From Sparse Point Clouds. CoRR (2024)
Johannes Theodoridis, Jessica Hofmann, Johannes Maucher, Andreas Schilling
Trapped in texture bias? A large scale comparison of deep instance segmentation. CoRR (2024)
Patrick Takenaka, Johannes Maucher, Marco F. Huber
ViPro: Enabling and Controlling Video Prediction for Complex Dynamical Scenarios using Procedural Knowledge. CoRR (2024)
Patrick Takenaka, Johannes Maucher, Marco F. Huber
Guiding Video Prediction with Explicit Procedural Knowledge. CoRR (2024)
Leon Eisemann, Johannes Maucher
Divide and Conquer: A Systematic Approach for Industrial Scale High-Definition OpenDRIVE Generation from Sparse Point Clouds. IV (2024)
Patrick Takenaka, Manuel Eberhardinger, Daniel Grießhaber, Johannes Maucher
Classification of Inkjet Printers based on Droplet Statistics. CoRR (2024)
Manuel Eberhardinger, Florian Rupp, Johannes Maucher, Setareh Maghsudi
Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming. CoRR (2024)
Leon Eisemann, Johannes Maucher
Divide and Conquer: A Systematic Approach for Industrial Scale High-Definition OpenDRIVE Generation from Sparse Point Clouds. CoRR (2024)
Manuel Eberhardinger, Florian Rupp, Johannes Maucher, Setareh Maghsudi
Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming. ICSI (1) (2024)
Patrick Takenaka, Johannes Maucher, Marco F. Huber
Guiding Video Prediction with Explicit Procedural Knowledge. ICCV (Workshops) (2023)
Manuel Eberhardinger, Johannes Maucher, Setareh Maghsudi
Learning of Generalizable and Interpretable Knowledge in Grid-Based Reinforcement Learning Environments. AIIDE (2023)
Leon Eisemann, Johannes Maucher
Automatic Odometry-Less OpenDRIVE Generation From Sparse Point Clouds. ITSC (2023)
Manuel Eberhardinger, Johannes Maucher, Setareh Maghsudi
Learning of Generalizable and Interpretable Knowledge in Grid-Based Reinforcement Learning Environments. CoRR (2023)
Daniel Grießhaber, Johannes Maucher, Ngoc Thang Vu
Regularisation for Efficient Softmax Parameter Generation in Low-Resource Text Classifiers. IJCAI (2023)
Manuel Eberhardinger, Johannes Maucher, Setareh Maghsudi
Towards Explainable Decision Making with Neural Program Synthesis and Library Learning. NeSy (2023)
Johannes Theodoridis, Jessica Hofmann, Johannes Maucher, Andreas Schilling
Trapped in Texture Bias? A Large Scale Comparison of Deep Instance Segmentation. ECCV (8) (2022)
Manuel Eberhardinger, Johannes Maucher, Setareh Maghsudi
Imitation Learning of Logical Program Policies for Multi-Agent Reinforcement Learning. KI (Workshops) (2022)
Leon Eisemann, Jan Fröhlich, Axel Hartz, Johannes Maucher
Expanding dynamic range in a single-shot image through a sparse grid of low exposure pixels. Imaging Sensors and Systems (2020)
Daniel Grießhaber, Johannes Maucher, Ngoc Thang Vu
Fine-tuning BERT for Low-Resource Natural Language Understanding via Active Learning. CoRR (2020)
Lea Baumgärtner, Stephanie Jauss, Johannes Maucher, Gottfried Zimmermann
Automated Sign Language Translation: The Role of Artificial Intelligence Now and in the Future. CHIRA (2020)
Daniel Grießhaber, Ngoc Thang Vu, Johannes Maucher
Low-resource text classification using domain-adversarial learning. Comput. Speech Lang. 62 (2020)
Daniel Grießhaber, Johannes Maucher, Ngoc Thang Vu
Fine-tuning BERT for Low-Resource Natural Language Understanding via Active Learning. COLING (2020)
Nina Schaaf, Marco F. Huber, Johannes Maucher
Enhancing Decision Tree Based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization. ICMLA (2019)
Andreas Stiegler, Keshav P. Dahal, Johannes Maucher, Daniel Jack Livingstone
Symbolic Reasoning for Hearthstone. IEEE Trans. Games 10 (2) (2018)
Daniel Grießhaber, Ngoc Thang Vu, Johannes Maucher
Low-Resource Text Classification using Domain-Adversarial Learning. CoRR (2018)
Daniel Grießhaber, Ngoc Thang Vu, Johannes Maucher
Low-Resource Text Classification Using Domain-Adversarial Learning. SLSP (2018)
Andreas Stiegler, Claudius Messerschmidt, Johannes Maucher, Keshav P. Dahal
Hearthstone deck-construction with a utility system. SKIMA (2016)
Benjamin Heuer, Jan Zibuschka, Heiko Roßnagel, Johannes Maucher
Empirical analysis of passenger trajectories within an urban transport hub. ISCRAM (2012)
Johannes Maucher, Victor V. Zyablov, Martin Bossert
On the equivalence of generalized concatenated codes and generalized error location codes. IEEE Trans. Inf. Theory 46 (2) (2000)
Vladimir Sidorenko, Johannes Maucher, Martin Bossert
Rectangular Codes and Rectangular Algebra. AAECC (1999)
Johannes Maucher, Vladimir Sidorenko, Martin Bossert
Rectangular Basis of a Linear Code. IMACC (1999)
Martin Bossert, Helmut Grießer, Johannes Maucher, Victor V. Zyablov
Some Results on Generalized Concatenation of Block Codes. AAECC (1999)
Johannes Maucher
Multi Dimensional Compartment Schemes. IMACC (1997)

Johannes Maucher.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Johannes Maucher