Wolfgang Konen

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 27

Top Topics

Anomaly Detection

Constrained Optimization

Reinforcement Learning

Top Venues

Appl. Soft Comput.

Publications

Moritz Lange, Raphael C. Engelhardt, Wolfgang Konen, Laurenz Wiskott
Interpretable Brain-Inspired Representations Improve RL Performance on Visual Navigation Tasks. CoRR (2024)
Marc Oedingen, Raphael C. Engelhardt, Robin Denz, Maximilian Hammer, Wolfgang Konen
ChatGPT Code Detection: Techniques for Uncovering the Source of Code. CoRR (2024)
Wolfgang Konen
Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning. CoRR (2023)
Moritz Lange, Noah Krystiniak, Raphael C. Engelhardt, Wolfgang Konen, Laurenz Wiskott
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-visual Environments: A Comparison. LOD (2) (2023)
Moritz Lange, Noah Krystiniak, Raphael C. Engelhardt, Wolfgang Konen, Laurenz Wiskott
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison. CoRR (2023)
Raphael C. Engelhardt, Ralitsa Raycheva, Moritz Lange, Laurenz Wiskott, Wolfgang Konen
Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning. LOD (2) (2023)
Johannes Scheiermann, Wolfgang Konen
AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time. IEEE Trans. Games 15 (4) (2023)
Raphael C. Engelhardt, Marc Oedingen, Moritz Lange, Laurenz Wiskott, Wolfgang Konen
Iterative Oblique Decision Trees Deliver Explainable RL Models. Algorithms 16 (6) (2023)
Johannes Scheiermann, Wolfgang Konen
AlphaZero-Inspired General Board Game Learning and Playing. CoRR (2022)
Raphael C. Engelhardt, Moritz Lange, Laurenz Wiskott, Wolfgang Konen
Sample-Based Rule Extraction for Explainable Reinforcement Learning. LOD (1) (2022)
Markus Thill, Wolfgang Konen, Hao Wang, Thomas Bäck
Temporal convolutional autoencoder for unsupervised anomaly detection in time series. Appl. Soft Comput. 112 (2021)
Wolfgang Konen, Samineh Bagheri
Final Adaptation Reinforcement Learning for N-Player Games. CoRR (2021)
Samineh Bagheri, Ulf Reinicke, Denis Anders, Wolfgang Konen
Surrogate-assisted optimization for augmentation of finite element techniques. J. Comput. Sci. 54 (2021)
Markus Thill, Wolfgang Konen, Thomas Bäck
Time Series Encodings with Temporal Convolutional Networks. BIOMA (2020)
Wolfgang Konen, Samineh Bagheri
Reinforcement Learning for N-player Games: The Importance of Final Adaptation. BIOMA (2020)
Wolfgang Konen
General Board Game Playing for Education and Research in Generic AI Game Learning. CoG (2019)
Markus Thill, Sina Däubener, Wolfgang Konen, Thomas Bäck
Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks. ITAT (2019)
Wolfgang Konen
General Board Game Playing for Education and Research in Generic AI Game Learning. CoRR (2019)
Samineh Bagheri, Wolfgang Konen, Thomas Bäck
Solving optimization problems with high conditioning by means of online whitening. GECCO (Companion) (2019)
Samineh Bagheri, Wolfgang Konen, Thomas Bäck
SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning. CoRR (2019)
Samineh Bagheri, Wolfgang Konen, Michael Emmerich, Thomas Bäck
Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets. Appl. Soft Comput. 61 (2017)
Markus Thill, Wolfgang Konen, Thomas Bäck
Online anomaly detection on the webscope S5 dataset: A comparative study. EAIS (2017)
Samineh Bagheri, Wolfgang Konen, Richard Allmendinger, Jürgen Branke, Kalyanmoy Deb, Jonathan E. Fieldsend, Domenico Quagliarella, Karthik Sindhya
Constraint handling in efficient global optimization. GECCO (2017)
Samineh Bagheri, Wolfgang Konen, Thomas Bäck
Equality constraint handling for surrogate-assisted constrained optimization. CEC (2016)
Samineh Bagheri, Wolfgang Konen, Thomas Bäck
Online selection of surrogate models for constrained black-box optimization. SSCI (2016)
Wolfgang Konen
Illumination-invariant image mosaic calculation based on logarithmic search. CoRR (2016)
Samineh Bagheri, Markus Thill, Patrick Koch, Wolfgang Konen
Online Adaptable Learning Rates for the Game Connect-4. IEEE Trans. Comput. Intell. AI Games 8 (1) (2016)
Samineh Bagheri, Wolfgang Konen, Michael Emmerich, Thomas Bäck
Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control. CoRR (2015)
Patrick Koch, Tobias Wagner, Michael T. M. Emmerich, Thomas Bäck, Wolfgang Konen
Efficient multi-criteria optimization on noisy machine learning problems. Appl. Soft Comput. 29 (2015)
Patrick Koch, Samineh Bagheri, Wolfgang Konen, Christophe Foussette, Peter Krause, Thomas Bäck
A New Repair Method For Constrained Optimization. GECCO (2015)
Markus Thill, Samineh Bagheri, Patrick Koch, Wolfgang Konen
Temporal difference learning with eligibility traces for the game connect four. CIG (2014)
Wolfgang Konen, Patrick Koch
Adaptation in Nonlinear Learning Models for Nonstationary Tasks. PPSN (2014)
Jörg Stork, Ricardo Ramos, Patrick Koch, Wolfgang Konen
SVM Ensembles Are Better When Different Kernel Types Are Combined. ECDA (2013)
Patrick Koch, Bernd Bischl, Oliver Flasch, Thomas Bartz-Beielstein, Claus Weihs, Wolfgang Konen
Tuning and evolution of support vector kernels. Evol. Intell. 5 (3) (2012)
Patrick Koch, Wolfgang Konen
Efficient Sampling and Handling of Variance in Tuning Data Mining Models. PPSN (1) (2012)
Markus Thill, Patrick Koch, Wolfgang Konen
Reinforcement Learning with N-tuples on the Game Connect-4. PPSN (1) (2012)
Thomas Bartz-Beielstein, Martina Friese, Martin Zaefferer, Boris Naujoks, Oliver Flasch, Wolfgang Konen, Patrick Koch
Noisy optimization with sequential parameter optimization and optimal computational budget allocation. GECCO (Companion) (2011)
Wolfgang Konen, Patrick Koch, Oliver Flasch, Thomas Bartz-Beielstein, Martina Friese, Boris Naujoks
Tuned data mining: a benchmark study on different tuners. GECCO (2011)
Wolfgang Konen
Self-configuration from a Machine-Learning Perspective CoRR (2011)
Patrick Koch, Wolfgang Konen, Kristine Hein
Gesture recognition on few training data using Slow Feature Analysis and parametric bootstrap. IJCNN (2010)
Oliver Flasch, Thomas Bartz-Beielstein, Artur Davtyan, Patrick Koch, Wolfgang Konen, Tosin Daniel Oyetoyan, Michael Tamutan
Comparing SPO-tuned GP and NARX prediction models for stormwater tank fill level prediction. IEEE Congress on Evolutionary Computation (2010)
Jörg Ziegenhirt, Thomas Bartz-Beielstein, Oliver Flasch, Wolfgang Konen, Martin Zaefferer
Optimization of biogas production with computational intelligence a comparative study. IEEE Congress on Evolutionary Computation (2010)
Wolfgang Konen, Thomas Bartz-Beielstein
Reinforcement learning for games: failures and successes. GECCO (Companion) (2009)
Wolfgang Konen, Tobias Zimmer, Thomas Bartz-Beielstein
Optimierte Modellierung von Füllständen in Regenüberlaufbecken mittels CI-basierter Parameterselektion (Optimized Modelling of Fill Levels in Stormwater Tanks Using CI-based Parameter Selection Schemes). Autom. 57 (3) (2009)
Wolfgang Konen, Thomas Bartz-Beielstein
Reinforcement Learning: Insights from Interesting Failures in Parameter Selection. PPSN (2008)
Wolfgang Konen, S. Tombrock, Martin Scholz
Robust registration procedures for endoscopic imaging. Medical Image Anal. 11 (6) (2007)
Wolfgang Konen, Beate Breiderhoff, Martin Scholz
Real-Time Image Mosaic for Endoscopic Video Sequences. Bildverarbeitung für die Medizin (2007)
Rolf P. Würtz, Wolfgang Konen, Kay-Ole Behrmann
On the performance of neuronal matching algorithms. Neural Networks 12 (1) (1999)
Rolf P. Würtz, Wolfgang Konen, Kay-Ole Behrmann
How Fast can Neuronal Algorithms Match Patterns. ICANN (1996)
Wolfgang Konen
Comparing Facial Line Drawings with Gray-Level Images: A Case Study on PHANTOMAS. ICANN (1996)
Jörg Kopecz, Wolfgang Konen, Rolf Ekkehard Schulze-Krüger
ZN-Face: A system for access control using automated face recognition. SNN Symposium on Neural Networks (1995)
Wolfgang Konen, Thomas Maurer, Christoph von der Malsburg
A fast dynamic link matching algorithm for invariant pattern recognition. Neural Networks 7 (6-7) (1994)
Wolfgang Konen, Christoph von der Malsburg
Learning to Generalize from Single Examples in the Dynamic Link Architecture. Neural Comput. 5 (5) (1993)
Martin Lades, Jan C. Vorbrüggen, Joachim M. Buhmann, Jörg Lange, Christoph von der Malsburg, Rolf P. Würtz, Wolfgang Konen
Distortion Invariant Object Recognition in the Dynamic Link Architecture. IEEE Trans. Computers 42 (3) (1993)