Wolfgang Konen

57 papers A 5B 4C 3Journal 27Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Object-centric Denoising Diffusion Models for Physical Reasoning. CoRR Moritz Lange, Raphael C. Engelhardt, Wolfgang Konen, Andrew Melnik, Laurenz Wiskott
2024	J	`jnl`	ChatGPT Code Detection: Techniques for Uncovering the Source of Code. CoRR Marc Oedingen, Raphael C. Engelhardt, Robin Denz, Maximilian Hammer, Wolfgang Konen
2024	—	`conf`	Exploring the Reliability of SHAP Values in Reinforcement Learning. xAI (3) Raphael C. Engelhardt, Moritz Lange, Laurenz Wiskott, Wolfgang Konen
2024	J	`jnl`	Interpretable Brain-Inspired Representations Improve RL Performance on Visual Navigation Tasks. CoRR Moritz Lange, Raphael C. Engelhardt, Wolfgang Konen, Laurenz Wiskott
2024	J	`jnl`	Putting the Iterative Training of Decision Trees to the Test on a Real-World Robotic Task. CoRR Raphael C. Engelhardt, Marcel J. Meinen, Moritz Lange, Laurenz Wiskott, Wolfgang Konen
2023	J	`jnl`	AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time. IEEE Trans. Games Johannes Scheiermann, Wolfgang Konen
2023	J	`jnl`	Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison. CoRR Moritz Lange, Noah Krystiniak, Raphael C. Engelhardt, Wolfgang Konen, Laurenz Wiskott
2023	—	`conf`	Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-visual Environments: A Comparison. LOD (2) Moritz Lange, Noah Krystiniak, Raphael C. Engelhardt, Wolfgang Konen, Laurenz Wiskott
2023	J	`jnl`	Iterative Oblique Decision Trees Deliver Explainable RL Models. Algorithms Raphael C. Engelhardt, Marc Oedingen, Moritz Lange, Laurenz Wiskott, Wolfgang Konen
2023	J	`jnl`	Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning. CoRR Wolfgang Konen
2023	—	`conf`	Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning. LOD (2) Raphael C. Engelhardt, Ralitsa Raycheva, Moritz Lange, Laurenz Wiskott, Wolfgang Konen
2022	J	`jnl`	AlphaZero-Inspired General Board Game Learning and Playing. CoRR Johannes Scheiermann, Wolfgang Konen
2022	—	`conf`	Sample-Based Rule Extraction for Explainable Reinforcement Learning. LOD (1) Raphael C. Engelhardt, Moritz Lange, Laurenz Wiskott, Wolfgang Konen
2021	J	`jnl`	Final Adaptation Reinforcement Learning for N-Player Games. CoRR Wolfgang Konen, Samineh Bagheri
2021	J	`jnl`	Surrogate-assisted optimization for augmentation of finite element techniques. J. Comput. Sci. Samineh Bagheri, Ulf Reinicke, Denis Anders, Wolfgang Konen
2021	J	`jnl`	Temporal convolutional autoencoder for unsupervised anomaly detection in time series. Appl. Soft Comput. Markus Thill, Wolfgang Konen, Hao Wang, Thomas Bäck
2020	—	`conf`	Reinforcement Learning for N-player Games: The Importance of Final Adaptation. BIOMA Wolfgang Konen, Samineh Bagheri
2020	—	`conf`	Time Series Encodings with Temporal Convolutional Networks. BIOMA Markus Thill, Wolfgang Konen, Thomas Bäck
2019	—	`conf`	Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks. ITAT Markus Thill, Sina Däubener, Wolfgang Konen, Thomas Bäck
2019	C	`conf`	General Board Game Playing for Education and Research in Generic AI Game Learning. CoG Wolfgang Konen
2019	J	`jnl`	General Board Game Playing for Education and Research in Generic AI Game Learning. CoRR Wolfgang Konen
2019	J	`jnl`	SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning. CoRR Samineh Bagheri, Wolfgang Konen, Thomas Bäck
2019	—	`conf`	Solving optimization problems with high conditioning by means of online whitening. GECCO (Companion) Samineh Bagheri, Wolfgang Konen, Thomas Bäck
2017	A	`conf`	Constraint handling in efficient global optimization. GECCO Samineh Bagheri, Wolfgang Konen, Richard Allmendinger, Jürgen Branke, Kalyanmoy Deb, Jonathan E. Fieldsend, Domenico Quagliarella, Karthik Sindhya
2017	—	`conf`	Online anomaly detection on the webscope S5 dataset: A comparative study. EAIS Markus Thill, Wolfgang Konen, Thomas Bäck
2017	J	`jnl`	Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets. Appl. Soft Comput. Samineh Bagheri, Wolfgang Konen, Michael Emmerich, Thomas Bäck
2016	B	`conf`	Equality constraint handling for surrogate-assisted constrained optimization. CEC Samineh Bagheri, Wolfgang Konen, Thomas Bäck
2016	J	`jnl`	Illumination-invariant image mosaic calculation based on logarithmic search. CoRR Wolfgang Konen
2016	J	`jnl`	Online Adaptable Learning Rates for the Game Connect-4. IEEE Trans. Comput. Intell. AI Games Samineh Bagheri, Markus Thill, Patrick Koch, Wolfgang Konen
2016	—	`conf`	Online selection of surrogate models for constrained black-box optimization. SSCI Samineh Bagheri, Wolfgang Konen, Thomas Bäck
2015	A	`conf`	A New Repair Method For Constrained Optimization. GECCO Patrick Koch, Samineh Bagheri, Wolfgang Konen, Christophe Foussette, Peter Krause, Thomas Bäck
2015	J	`jnl`	Efficient multi-criteria optimization on noisy machine learning problems. Appl. Soft Comput. Patrick Koch, Tobias Wagner, Michael T. M. Emmerich, Thomas Bäck, Wolfgang Konen
2015	J	`jnl`	Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control. CoRR Samineh Bagheri, Wolfgang Konen, Michael Emmerich, Thomas Bäck
2014	A	`conf`	Adaptation in Nonlinear Learning Models for Nonstationary Tasks. PPSN Wolfgang Konen, Patrick Koch
2014	—	`conf`	Temporal difference learning with eligibility traces for the game connect four. CIG Markus Thill, Samineh Bagheri, Patrick Koch, Wolfgang Konen
2013	—	`conf`	SVM Ensembles Are Better When Different Kernel Types Are Combined. ECDA Jörg Stork, Ricardo Ramos, Patrick Koch, Wolfgang Konen
2012	—	`conf`	Efficient Sampling and Handling of Variance in Tuning Data Mining Models. PPSN (1) Patrick Koch, Wolfgang Konen
2012	—	`conf`	Reinforcement Learning with N-tuples on the Game Connect-4. PPSN (1) Markus Thill, Patrick Koch, Wolfgang Konen
2012	J	`jnl`	Tuning and evolution of support vector kernels. Evol. Intell. Patrick Koch, Bernd Bischl, Oliver Flasch, Thomas Bartz-Beielstein, Claus Weihs, Wolfgang Konen
2011	—	`conf`	Noisy optimization with sequential parameter optimization and optimal computational budget allocation. GECCO (Companion) Thomas Bartz-Beielstein, Martina Friese, Martin Zaefferer, Boris Naujoks, Oliver Flasch, Wolfgang Konen, Patrick Koch
2011	J	`jnl`	Self-configuration from a Machine-Learning Perspective CoRR Wolfgang Konen
2011	A	`conf`	Tuned data mining: a benchmark study on different tuners. GECCO Wolfgang Konen, Patrick Koch, Oliver Flasch, Thomas Bartz-Beielstein, Martina Friese, Boris Naujoks
2010	B	`conf`	Comparing SPO-tuned GP and NARX prediction models for stormwater tank fill level prediction. IEEE Congress on Evolutionary Computation Oliver Flasch, Thomas Bartz-Beielstein, Artur Davtyan, Patrick Koch, Wolfgang Konen, Tosin Daniel Oyetoyan, Michael Tamutan
2010	B	`conf`	Gesture recognition on few training data using Slow Feature Analysis and parametric bootstrap. IJCNN Patrick Koch, Wolfgang Konen, Kristine Hein
2010	B	`conf`	Optimization of biogas production with computational intelligence a comparative study. IEEE Congress on Evolutionary Computation Jörg Ziegenhirt, Thomas Bartz-Beielstein, Oliver Flasch, Wolfgang Konen, Martin Zaefferer
2009	J	`jnl`	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. Wolfgang Konen, Tobias Zimmer, Thomas Bartz-Beielstein
2009	—	`conf`	Reinforcement learning for games: failures and successes. GECCO (Companion) Wolfgang Konen, Thomas Bartz-Beielstein
2008	A	`conf`	Reinforcement Learning: Insights from Interesting Failures in Parameter Selection. PPSN Wolfgang Konen, Thomas Bartz-Beielstein
2007	—	`conf`	Real-Time Image Mosaic for Endoscopic Video Sequences. Bildverarbeitung für die Medizin Wolfgang Konen, Beate Breiderhoff, Martin Scholz
2007	J	`jnl`	Robust registration procedures for endoscopic imaging. Medical Image Anal. Wolfgang Konen, S. Tombrock, Martin Scholz
1999	J	`jnl`	On the performance of neuronal matching algorithms. Neural Networks Rolf P. Würtz, Wolfgang Konen, Kay-Ole Behrmann
1996	C	`conf`	Comparing Facial Line Drawings with Gray-Level Images: A Case Study on PHANTOMAS. ICANN Wolfgang Konen
1996	C	`conf`	How Fast can Neuronal Algorithms Match Patterns. ICANN Rolf P. Würtz, Wolfgang Konen, Kay-Ole Behrmann
1995	—	`conf`	ZN-Face: A system for access control using automated face recognition. SNN Symposium on Neural Networks Jörg Kopecz, Wolfgang Konen, Rolf Ekkehard Schulze-Krüger
1994	J	`jnl`	A fast dynamic link matching algorithm for invariant pattern recognition. Neural Networks Wolfgang Konen, Thomas Maurer, Christoph von der Malsburg
1993	J	`jnl`	Distortion Invariant Object Recognition in the Dynamic Link Architecture. IEEE Trans. Computers Martin Lades, Jan C. Vorbrüggen, Joachim M. Buhmann, Jörg Lange, Christoph von der Malsburg, Rolf P. Würtz, Wolfgang Konen
1993	J	`jnl`	Learning to Generalize from Single Examples in the Dynamic Link Architecture. Neural Comput. Wolfgang Konen, Christoph von der Malsburg