Wolfgang Konen

According to our database, Wolfgang Konen authored at least 53 papers between 1993 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Interpretable Brain-Inspired Representations Improve RL Performance on Visual Navigation Tasks.

Moritz Lange, Raphael C. Engelhardt, Wolfgang Konen, Laurenz Wiskott

CoRR, 2024

2023

AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time.

Johannes Scheiermann, Wolfgang Konen

IEEE Trans. Games, December, 2023

Iterative Oblique Decision Trees Deliver Explainable RL Models.

Raphael C. Engelhardt, Marc Oedingen, Moritz Lange, Laurenz Wiskott, Wolfgang Konen

Algorithms, June, 2023

Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning.

Wolfgang Konen

CoRR, 2023

Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-visual Environments: A Comparison.

Moritz Lange, Noah Krystiniak, Raphael C. Engelhardt, Wolfgang Konen, Laurenz Wiskott

Proceedings of the Machine Learning, Optimization, and Data Science, 2023

Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning.

Raphael C. Engelhardt, Ralitsa Raycheva, Moritz Lange, Laurenz Wiskott, Wolfgang Konen

Proceedings of the Machine Learning, Optimization, and Data Science, 2023

2022

AlphaZero-Inspired General Board Game Learning and Playing.

Johannes Scheiermann, Wolfgang Konen

CoRR, 2022

Sample-Based Rule Extraction for Explainable Reinforcement Learning.

Raphael C. Engelhardt, Moritz Lange, Laurenz Wiskott, Wolfgang Konen

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

2021

Surrogate-assisted optimization for augmentation of finite element techniques.

Samineh Bagheri, Ulf Reinicke, Denis Anders, Wolfgang Konen

J. Comput. Sci., 2021

Final Adaptation Reinforcement Learning for N-Player Games.

Wolfgang Konen, Samineh Bagheri

CoRR, 2021

Temporal convolutional autoencoder for unsupervised anomaly detection in time series.

Markus Thill, Wolfgang Konen, Hao Wang, Thomas Bäck

Appl. Soft Comput., 2021

2020

MarkusThill/MGAB: The Mackey-Glass Anomaly Benchmark.

Markus Thill, Wolfgang Konen, Thomas Bäck

Dataset, April, 2020

MarkusThill/MGAB: The Mackey-Glass Anomaly Benchmark.

Markus Thill, Wolfgang Konen, Thomas Bäck

Dataset, April, 2020

Time Series Encodings with Temporal Convolutional Networks.

Markus Thill, Wolfgang Konen, Thomas Bäck

Proceedings of the Bioinspired Optimization Methods and Their Applications, 2020

Reinforcement Learning for N-player Games: The Importance of Final Adaptation.

Wolfgang Konen, Samineh Bagheri

Proceedings of the Bioinspired Optimization Methods and Their Applications, 2020

2019

SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning.

Samineh Bagheri, Wolfgang Konen, Thomas Bäck

CoRR, 2019

Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks.

Markus Thill, Sina Däubener, Wolfgang Konen, Thomas Bäck

Proceedings of the 19th Conference Information Technologies, 2019

Solving optimization problems with high conditioning by means of online whitening.

Samineh Bagheri, Wolfgang Konen, Thomas Bäck

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

General Board Game Playing for Education and Research in Generic AI Game Learning.

Wolfgang Konen

Proceedings of the IEEE Conference on Games, 2019

2017

Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets.

Samineh Bagheri, Wolfgang Konen, Michael Emmerich, Thomas Bäck

Appl. Soft Comput., 2017

Constraint handling in efficient global optimization.

Samineh Bagheri, Wolfgang Konen, Richard Allmendinger, Jürgen Branke, Kalyanmoy Deb, Jonathan E. Fieldsend, Domenico Quagliarella, Karthik Sindhya

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Online anomaly detection on the webscope S5 dataset: A comparative study.

Markus Thill, Wolfgang Konen, Thomas Bäck

Proceedings of the 2017 Evolving and Adaptive Intelligent Systems, 2017

2016

Online Adaptable Learning Rates for the Game Connect-4.

Samineh Bagheri, Markus Thill, Patrick Koch, Wolfgang Konen

IEEE Trans. Comput. Intell. AI Games, 2016

Illumination-invariant image mosaic calculation based on logarithmic search.

Wolfgang Konen

CoRR, 2016

Online selection of surrogate models for constrained black-box optimization.

Samineh Bagheri, Wolfgang Konen, Thomas Bäck

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Equality constraint handling for surrogate-assisted constrained optimization.

Samineh Bagheri, Wolfgang Konen, Thomas Bäck

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control.

Samineh Bagheri, Wolfgang Konen, Michael Emmerich, Thomas Bäck

CoRR, 2015

Efficient multi-criteria optimization on noisy machine learning problems.

Patrick Koch, Tobias Wagner, Michael T. M. Emmerich, Thomas Bäck, Wolfgang Konen

Appl. Soft Comput., 2015

A New Repair Method For Constrained Optimization.

Patrick Koch, Samineh Bagheri, Wolfgang Konen, Christophe Foussette, Peter Krause, Thomas Bäck

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014

Adaptation in Nonlinear Learning Models for Nonstationary Tasks.

Wolfgang Konen, Patrick Koch

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Temporal difference learning with eligibility traces for the game connect four.

Markus Thill, Samineh Bagheri, Patrick Koch, Wolfgang Konen

Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014

2013

SVM Ensembles Are Better When Different Kernel Types Are Combined.

Jörg Stork, Ricardo Ramos, Patrick Koch, Wolfgang Konen

Proceedings of the Data Science, 2013

2012

Tuning and evolution of support vector kernels.

Patrick Koch, Bernd Bischl, Oliver Flasch, Thomas Bartz-Beielstein, Claus Weihs, Wolfgang Konen

Evol. Intell., 2012

Reinforcement Learning with N-tuples on the Game Connect-4.

Markus Thill, Patrick Koch, Wolfgang Konen

Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Efficient Sampling and Handling of Variance in Tuning Data Mining Models.

Patrick Koch, Wolfgang Konen

Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

2011

Self-configuration from a Machine-Learning Perspective

Wolfgang Konen

CoRR, 2011

Tuned data mining: a benchmark study on different tuners.

Wolfgang Konen, Patrick Koch, Oliver Flasch, Thomas Bartz-Beielstein, Martina Friese, Boris Naujoks

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Noisy optimization with sequential parameter optimization and optimal computational budget allocation.

Thomas Bartz-Beielstein, Martina Friese, Martin Zaefferer, Boris Naujoks, Oliver Flasch, Wolfgang Konen, Patrick Koch

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010

Gesture recognition on few training data using Slow Feature Analysis and parametric bootstrap.

Patrick Koch, Wolfgang Konen, Kristine Hein

Proceedings of the International Joint Conference on Neural Networks, 2010

Optimization of biogas production with computational intelligence a comparative study.

Jörg Ziegenhirt, Thomas Bartz-Beielstein, Oliver Flasch, Wolfgang Konen, Martin Zaefferer

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Comparing SPO-tuned GP and NARX prediction models for stormwater tank fill level prediction.

Oliver Flasch, Thomas Bartz-Beielstein, Artur Davtyan, Patrick Koch, Wolfgang Konen, Tosin Daniel Oyetoyan, Michael Tamutan

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Optimierte Modellierung von Füllständen in Regenüberlaufbecken mittels CI-basierter Parameterselektion (Optimized Modelling of Fill Levels in Stormwater Tanks Using CI-based Parameter Selection Schemes).

Wolfgang Konen, Tobias Zimmer, Thomas Bartz-Beielstein

Autom., 2009

Reinforcement learning for games: failures and successes.

Wolfgang Konen, Thomas Bartz-Beielstein

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008

Reinforcement Learning: Insights from Interesting Failures in Parameter Selection.

Wolfgang Konen, Thomas Bartz-Beielstein

Proceedings of the Parallel Problem Solving from Nature, 2008

2007

Robust registration procedures for endoscopic imaging.

Wolfgang Konen, S. Tombrock, Martin Scholz

Medical Image Anal., 2007

Real-Time Image Mosaic for Endoscopic Video Sequences.

Wolfgang Konen, Beate Breiderhoff, Martin Scholz

Proceedings of the Bildverarbeitung für die Medizin 2007, 2007

1999

On the performance of neuronal matching algorithms.

Rolf P. Würtz, Wolfgang Konen, Kay-Ole Behrmann

Neural Networks, 1999

1996

How Fast can Neuronal Algorithms Match Patterns.

Rolf P. Würtz, Wolfgang Konen, Kay-Ole Behrmann

Proceedings of the Artificial Neural Networks, 1996

Comparing Facial Line Drawings with Gray-Level Images: A Case Study on PHANTOMAS.

Wolfgang Konen

Proceedings of the Artificial Neural Networks, 1996

1995

ZN-Face: A system for access control using automated face recognition.

Jörg Kopecz, Wolfgang Konen, Rolf Ekkehard Schulze-Krüger

Proceedings of the Neural Networks: Artificial Intelligence and Industrial Applications, 1995

1994

A fast dynamic link matching algorithm for invariant pattern recognition.

Wolfgang Konen, Thomas Maurer, Christoph von der Malsburg

Neural Networks, 1994

1993

Distortion Invariant Object Recognition in the Dynamic Link Architecture.

Martin Lades, Jan C. Vorbrüggen, Joachim M. Buhmann, Jörg Lange, Christoph von der Malsburg, Rolf P. Würtz, Wolfgang Konen

IEEE Trans. Computers, 1993

Learning to Generalize from Single Examples in the Dynamic Link Architecture.

Wolfgang Konen, Christoph von der Malsburg

Neural Comput., 1993