Tim Wirtz

According to our database, Tim Wirtz authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Big Data 2.0 - mit synthetischen Daten KI-Systeme stärken.

Dirk Hecker, Angi Voss, Gerhard Paaß, Tim Wirtz

Wirtschaftsinformatik Manag., April, 2023

2022

Multi-Agent Neural Rewriter for Vehicle Routing with Limited Disclosure of Costs.

Nathalie Paul, Tim Wirtz, Stefan Wrobel, Alexander Kister

CoRR, 2022

Tailored Uncertainty Estimation for Deep Learning Systems.

Joachim Sicking, Maram Akila, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel

CoRR, 2022

DenseHMM: Learning Hidden Markov Models by Learning Dense Representations.

Joachim Sicking, Maximilian Pintz, Maram Akila, Tim Wirtz

Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

2021

Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety.

Sebastian Houben, Stephanie Abrecht, Maram Akila, Andreas Bär, Felix Brockherde, Patrick Feifel, Tim Fingscheidt, Sujan Sai Gannamaneni, Seyed Eghbal Ghobadi, Ahmed Hammam, Anselm Haselhoff, Felix Hauser, Christian Heinzemann, Marco Hoffmann, Nikhil Kapoor, Falk Kappel, Marvin Klingner, Jan Kronenberger, Fabian Küppers, Jonas Löhdefink, Michael Mlynarski, Michael Mock, Firas Mualla, Svetlana Pavlitskaya, Maximilian Poretschkin, Alexander Pohl, Varun Ravi Kumar, Julia Rosenzweig, Matthias Rottmann, Stefan Rüping, Timo Sämann, Jan David Schneider, Elena Schulz, Gesina Schwalbe, Joachim Sicking, Toshika Srivastava, Serin Varghese, Michael Weber, Sebastian Wirkert, Tim Wirtz, Matthias Woehrle

CoRR, 2021

Approaching Neural Network Uncertainty Realism.

Joachim Sicking, Alexander Kister, Matthias Fahrland, Stefan Eickeler, Fabian Hüger, Stefan Rüping, Peter Schlicht, Tim Wirtz

CoRR, 2021

A Novel Regression Loss for Non-Parametric Uncertainty Optimization.

Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Asja Fischer, Stefan Wrobel

CoRR, 2021

Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis.

Julia Rosenzweig, Eduardo Brito, Hans-Ulrich Kobialka, Maram Akila, Nico M. Schmidt, Peter Schlicht, Jan David Schneider, Fabian Hüger, Matthias Rottmann, Sebastian Houben, Tim Wirtz

Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

Supporting verification of news articles with automated search for semantically similar articles.

Vishwani Gupta, Katharina Beckh, Sven Giesselbach, Dennis Wegener, Tim Wirtz

Proceedings of the workshop Reducing Online Misinformation Through Credible Information Retrieval (ROMCIR 2021) co-located with 43rd European Conference on Information Retrieval (ECIR 2021), 2021

Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation.

Linara Adilova, Elena Schulz, Maram Akila, Sebastian Houben, Jan David Schneider, Fabian Hüger, Tim Wirtz

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Second-Moment Loss: A Novel Regression Objective for Improved Uncertainties.

Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Asja Fischer, Stefan Wrobel

CoRR, 2020

Towards Map-Based Validation of Semantic Segmentation Masks.

Laura von Rüden, Tim Wirtz, Fabian Hüger, Jan David Schneider, Christian Bauckhage

CoRR, 2020

Characteristics of Monte Carlo Dropout in Wide Neural Networks.

Joachim Sicking, Maram Akila, Tim Wirtz, Sebastian Houben, Asja Fischer

CoRR, 2020

Street-Map Based Validation of Semantic Segmentation in Autonomous Driving.

Laura von Rüden, Tim Wirtz, Fabian Hüger, Jan David Schneider, Nico Piatkowski, Christian Bauckhage

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2018

Efficient Decentralized Deep Learning by Dynamic Model Averaging.

Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018