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  • Conference Contributions
    • Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt
      Asymmetric Student-Teacher Networks for Industrial Anomaly Detection
      Winter Conference on Applications of Computer Vision (WACV), IEEE, Hawaii, USA, January 2023
      (pdfArxiv.org) BibTeX
    • Reemt Hinrichs, Angelo Jovin Yamachui Sitcheu, Jörn Ostermann
      Continuous Sign-Language Recognition using Transformers and Augmented Pose Estimation
      Proceedings of the International Conference on Pattern Recognition Applications and Methods , 2023
      BibTeX
    • Maximilian Schier, Christoph Reinders, Bodo Rosenhahn
      Deep Reinforcement Learning for Autonomous Driving Using High-Level Heterogeneous Graph Representations
      International Conference on Robotics and Automation (ICRA), p. to appear, 2023
      (pdfGithub) BibTeX
    • Reemt Hinrichs, Nan Jiang, Raul Beltran, Thomas Krause, Max Käding, Alexander Lange, Boso Schmidt, Jörn Ostermann, Steffen Marx
      Analysis of the Repeatability of the Pencil Lead Break in Comparison to the Ball Impact and Electromagnetic Body-Noise Actuator
      20th World Conference on Non-Destructive Testing (WCNDT 2020), 2022
      BibTeX
    • Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt
      Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection
      Winter Conference on Applications of Computer Vision (WACV), IEEE, Hawaii, USA, January 2022
      (pdfArxiv.org, Github) BibTeX
    • Reemt Hinrichs, Kevin Gerkens, Alexander Lange, Jörn Ostermann
      Classification of Guitar Effects and Extraction of their Parameter Settings from Instrument Mixes Using Convolutional Neural Networks
      EvoMUSART 2022, 2022
      (pdf) BibTeX
    • Carl Hvarfner, Danny Stoll, Artur Souza, Marius Lindauer, Frank Hutter, Luigi Nardi
      piBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization
      10th International Conference on Learning Representations, ICLR'22, OpenReview, pp. 1-30, April 2022
      (PDF) BibTeX
    • Christoph Reinders, Frederik Schubert, Bodo Rosenhahn
      ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing
      31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI), 2022
      (Arxiv.org, Github) BibTeX
    • Maximilian Schier, Christoph Reinders, Bodo Rosenhahn
      Constrained Mean Shift Clustering
      Proceedings of the 2022 SIAM International Conference on Data Mining (SDM), SIAM, April 2022
      (pdfGithub) BibTeX
    • Reemt Hinrichs, Kai Liang, Ze Lu, Jörn Ostermann
      Improved Compression of Artificial Neural Networks through Curvature-Aware Training
      Proceedings of the IEEE World Congress on Computational Intelligence, July 2022
      BibTeX
    • André Biedenkapp, David Speck, Silvan Sievers, Frank Hutter, Marius Lindauer, Jendrik Seipp
      Learning Domain-Independent Policies for Open List Selection
      Proceedings of the 3rd ICAPS workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL), pp. 1-9, 2022
      BibTeX
    • Kai Cordes, Christoph Reinders, Paul Hindricks, Jonas Lammers, Bodo Rosenhahn, Hellward Broszio
      RoadSaW: A Large-Scale Dataset for Camera-Based Road Surface and Wetness Estimation
      2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022
      (Link) BibTeX
    • Lars Rumberg, Christopher Gebauer, Hanna Ehlert, Maren Wallbaum, Lena Bornholt, Jörn Ostermann, Ulrike Lüdtke
      kidsTALC: A Corpus of 3- to 11-year-old German Children’s Connected Natural Speech
      Proceedings INTERSPEECH 2022 – 23rd Annual Conference of the International Speech Communication Association, ISCA, September 2022
      (pdf) BibTeX
    • Lars Rumberg, Christopher Gebauer, Hanna Ehlert, Ulrike Lüdtke, Jörn Ostermann
      Improving Phonetic Transcriptions of Children’s Speech by Pronunciation Modelling with Constrained CTC-Decoding
      Proceedings INTERSPEECH 2022 – 23rd Annual Conference of the International Speech Communication Association, ISCA, September 2022
      (pdf) BibTeX
    • Mina Mirzadeh, Robin Strunk, Sophie Matter, Iwo Bekker, Marco Munderloh, Tobias Erckrath, Lutz Hofmann, Axel Mertens
      A Rule-based Concept for a Bottom-up Multi-Master Black Start of an Inverter-Dominated Low-Voltage Cell
      2022 IEEE 13th International Symposium Power Electronics for Distributed Generation Systems, IEEE, June 2022
      BibTeX
    • Bodo Rosenhahn
      Mixed Integer Linear Programming for Optimizing a Hopfield Network
      European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Springer Nature, pp. 1-17, September 2022
      (pdf) BibTeX
    • Quy Le Xuan, Yeremia Gunawan Adhisantoso, Marco Munderloh, Jörn Ostermann
      Uncertainty-Aware Remaining Useful Life Prediction for Predictive Maintenance Using Deep Learning (accepted)
      16th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME, 2022
      BibTeX
    • Yeremia Gunawan Adhisantoso, Jörn Ostermann,
      Contact Matrix Compressor
      2022 Data Compression Conference (DCC), pp. 399-408, March 2022
      (pdfIEEEexplore) BibTeX
    • Yeremia Gunawan Adhisantoso, Quy Le Xuan, Christoph Kellerman, Marco Munderloh, Jörn Ostermann
      Introduction to Deep Degradation Metric in Smart Production Ecosystems
      16th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME, 2022
      (pdf) BibTeX
    • Reemt Hinrichs, Kevin Gerkens, Jörn Ostermann
      Convolutional Neural Networks for the Classification of Guitar Effects and Extraction of the Parameter Settings of Single and Multi Guitar Effects from Instrument Mixes
      EURASIP Journal on Audio, Speech, and Music Processing, 2022
      BibTeX
    • Reemt Hinrichs, Hendrik Heise, Lukas: Ostermann Ehmann
      Lossless Compression at Zero Delay of the Electrical Stimulation Patterns of Cochlear Implants for Wireless Streaming of Audio Using Artificial Neural Networks
      7th International Conference on Frontiers of Signal Processing, 2022
      BibTeX
    • Alexander Lange, Max Käding, Reemt Hinrichs, Jörn Ostermann, Steffen Marx
      Wire Break Detection in Bridge Tendons Using Low-Frequency Acoustic Emissions
      European Workshop on Structural Health Monitoring. EWSHM 2022., Springer, June 2022
      BibTeX
    • Ronghua Xu, Max Käding, Alexander Lange, Jörn Ostermann, Steffen Marx
      Detection of impulsive signals on tendons for hybrid wind turbines using acoustic emission measurements
      International Symposium on Non-Destructive Testing in Civil Engineering (NDT-CE 2022), August 2022
      (Link) BibTeX
    • Alexander Lange, Reemt Hinrichs, Jörn Ostermann
      Localized Damage Detection in Wind Turbine Rotor Blades using Airborne Acoustic Emissions (accepted)
      9th Asia-Pacific Workshops on Structural Health Monitoring 2022 (APWSHM 2022), December 2022
      BibTeX
    • Martin Benjak, Niklas Aust, Yasser Samayoa, Jörn Ostermann
      Neural Network-based Error Concealment for B-Frames in VVC
      2022 IEEE International Symposium on Circuits and Systems (ISCAS), Austin, Texas, USA, 2022
      (pdf) BibTeX
    • Linjie Xu, Jorge Hurtado-Grueso, Dominic Jeurissen, Diego Perez Liebana, Alexander Dockhorn
      Elastic Monte Carlo Tree Search State Abstraction for Strategy Game Playing
      2022 IEEE Conference on Games (CoG), IEEE, 2022
      (pdfArxiv.org) BibTeX
    • Lars Wagner, Christopher Olson, Alexander Dockhorn
      Generalizations of Steering - A Modular Design
      2022 IEEE Conference on Games (CoG), IEEE, pp. 1-4, 2022
      (pdf) BibTeX
    • Linjie Xu, Diego Perez-Liebana, Alexander Dockhorn
      Towards Applicable State Abstractions: a Preview in Strategy
      The Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM) - RL as a Model of Agency, pp. 1-7, 2022
      (pdfLink) BibTeX
    • Ulrike Pestel-Schiller, Jörn Ostermann
      Impact of Spatial Resolution and Zoom on Interpreter-Based Evaluation of Compressed SAR Images
      14th European Conference on Synthetic Aperture Radar, Leipzig, July 2022
      BibTeX
    • Ulrike Pestel-Schiller, Ye Yang, Jörn Ostermann
      Semantic Segmentation of Natural and Man-Made Fruits Using a Spatial-Spectral Two-Channel-CNN for Sparse Data
      12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), Rome, Italy, September 2022
      BibTeX
    • Reemt Hinrichs, Felix Ortmann, Jörn Ostermann
      Vector-Quantized Zero-Delay Deep Autoencoders for the Compression of Electrical Stimulation Patterns of Cochlear Implants Using STOI
      IEEE EMBS 2022, 2022
      BibTeX
    • Vasileios Iosifidis, Symeon Papadopulous, Bodo Rosenhahn, Eirini Ntoutsi
      AdaCC: cumulative cost-sensitive boosting for imbalanced classification
      Knowledge and Information Systems, Springer Nature, p. 38, October 2022, edited by Xindong Wu
      (pdf) BibTeX
    • Alexander Dockhorn
      Choosing Representation, Mutation, and Crossover in Genetic Algorithms
      IEEE Computational Intelligence Magazine, IEEE, Vol. 17, No. 4, pp. 52-53, November 2022
      (IEEEexplore) BibTeX
    • Thomas Norrenbrock, Marco Rudolph, Bodo Rosenhahn
      Take 5: Interpretable Image Classification with a Handful of Features
      Progress and Challenges in Building Trustworthy Embodied AI @NeurIPS, December 2022
      (pdfLink) BibTeX
    • Christoph Kellermann, Erik Neumann, Jörn Ostermann
      Prediction of variable forecast horizons with artificial neural networks by embedding the temporal resolution warping
      International Conference on Control, Automation and Diagnosis (ICCAD), pp. 1-5, Lisbon, Portugal, 2022
      (DOI) BibTeX
    • Christoph Kellermann, Ayoub Selmi, Dominic Brown, Jörn Ostermann
      Fault Detection in Multi-stage Manufacturing to Improve Process Quality
      International Conference on Control, Automation and Diagnosis (ICCAD), pp. 1-6, Lisbon, Portugal, 2022
      (DOI) BibTeX
    • Fabian Hartmann, Aron Sommer, Ulrike Pestel-Schiller, Jörn Osterman
      A scheme for stabilizing the image generation for VideoSAR
      13th European Conference on Synthetic Aperture Radar, March 2021, edited by EUSAR 2021
      (pdf) BibTeX
    • Ulrike Pestel-Schiller, Jörn Ostermann
      Interpreter-Based Evaluation of Compressed SAR Images Using JPEG and HEVC Intra Coding: Compression Can Improve Usability
      13th European Conference on Synthetic Aperture Radar, Online, March 2021
      (pdf) BibTeX
    • Marco Rudolph, Bastian Wandt, Bodo Rosenhahn
      Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows
      Winter Conference on Applications of Computer Vision (WACV), IEEE, Online, January 2021
      (pdfArxiv.org, Github, Youtube) BibTeX
    • Bastian Wandt, Marco Rudolph, Petrissa Zell, Helge Rhodin, Bodo Rosenhahn
      CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild
      Computer Vision and Pattern Recognition (CVPR), IEEE, Virtual, June 2021
      (pdfArxiv.org, Github, Youtube) BibTeX
    • Florian Kluger, Hanno Ackermann, Eric Brachmann, Michael Ying Yang, Bodo Rosenhahn
      Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images
      CVPR, June 2021
      (Arxiv.org) BibTeX
    • Martin Benjak, Holger Meuel, Thorsten Laude, Jörn Ostermann
      Enhanced Machine Learning-based Inter Coding for VVC
      2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) (ICAIIC 2021), April 2021
      (pdf) BibTeX
    • Ulrike Pestel-Schiller, Kai Hu, Daniel Gritzner, Jörn Ostermann,
      Determination of Relevant Hyperspectral Bands Using a Spectrally Constrained CNN
      11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), Paper 15, Online, March 2021, edited by Institute of Electrical and Electronics Engineers (IEEE)
      (DOI) BibTeX
    • Hendrik Hachmann, Benjamin Krüger, Bodo Rosenhahn, Waldo Nogueira
      Localization of Cochlear Implant Electrodes from Cone Beam Computed Tomography using Particle Belief Propagation
      International Symposium on Biomedical Imaging, ISBI, April 2021
      (pdfArxiv.org) BibTeX
    • Reemt Hinrichs, Alexander Schmidt, Julian Koslowski, Jörn Ostermann, Berend Denkena
      Analysis of the impact of data compression on condition monitoring algorithms for ball screws
      CMMO CIRP 2021, 2021
      (pdf) BibTeX
    • Sen He, Wentong Liao, Michael Ying Yang, Yongxin Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang
      Context-Aware Layout to Image Generation with Enhanced Object Appearance
      IEEE Conference on Computer Vision and Pattern Recognition, June 2021
      (pdf) BibTeX
    • Cheng Hao, Wentong Liao, Xuejiao Tang, Michael Ying Yang, Monika Sester, Bodo Rosenhahn
      Exploring Dynamic Context for Multi-path Trajectory Prediction
      International Conference on Robotics and Automation , May 2021
      (pdf) BibTeX
    • Wentong Liao, Cuiling Lan, Michael Ying Yang, Wenjung Zeng, Bodo Rosenhahn
      Target-Tailored Source-Transformation for Scene Graph Generation
      In CVPR Workshop on Multi-Sensor Fusion for Dynamic Scene Understanding, June 2021
      BibTeX
    • David Speck, André Biedenkapp, Frank Hutter, Robert Mattmüller, Marius Lindauer
      Learning Heuristic Selection with Dynamic Algorithm Configuration
      Proceedings of the 31st International Conference on Automated Planning and Scheduling {(ICAPS'21)}, August 2021
      (pdfArxiv.org) BibTeX
    • Theresa Eimer, André Biedenkapp, Maximilian Reimer, Steven Adriaensen, Frank Hutter, Marius Lindauer
      DACBench: A Benchmark Library for Dynamic Algorithm Configuration
      Proceedings of the international joint conference on artificial intelligence (IJCAI), August 2021
      (pdfArxiv.org) BibTeX
    • Julia Guerrero-Viu, Sven Hauns, Sergio Izquierdo, Guilherme Miotto, Simon Schrodi, Andre Biedenkapp, Thomas Elsken, Difan Deng, Marius Lindauer, Frank Hutter
      Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization
      Proceedings of the international workshop on Automated Machine Learning (AutoML) at ICML'21, July 2021
      (Arxiv.org) BibTeX
    • Andre Biedenkapp, Raghu Rajan, Frank Hutter, Marius Lindauer
      TempoRL: Learning When to Act
      Proceedings of the international conference on machine learning (ICML), July 2021
      (Arxiv.org) BibTeX
    • Theresa Eimer, Andre Biedenkapp, Frank Hutter, Marius Lindauer
      Self-Paced Context Evaluation for Contextual Reinforcement Learning
      Proceedings of the international conference on machine learning (ICML), July 2021
      (Arxiv.org) BibTeX
    • Christoph Kellermann, Yeramia Gunawan Adhisantoso, Marco Munderloh, Jörn Ostermann
      Introduction to an Adaptive Remaining Useful Life Prediction for forming tools
      Proceedings of IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), July 2021
      (pdf) BibTeX
    • Martin Benjak, Yasser Samayoa, Jörn Ostermann
      Neural Network Based Error Concealment for VVC
      Proceedings of the 28th IEEE International Conference on Image Processing (ICIP), Anchorage, Alaska, USA, September 2021
      (pdf) BibTeX
    • Maren Awiszus, Frederik Schubert, Bodo Rosenhahn
      World-GAN: a Generative Model for Minecraft Worlds
      IEEE Conference on Games, August 2021
      (Arxiv.org) BibTeX
    • Lars Rumberg, Hanna Ehlert, Ulrike Lüdtke, Jörn Ostermann
      Age-Invariant Training for End-to-End Child Speech Recognition using Adversarial Multi-Task Learning
      Proceedings INTERSPEECH 2021 -- 22th Annual Conference of the International Speech Communication Association, August 2021
      (pdf) BibTeX
    • Artur Souza, Luigi Nardi, Leonardo Oliveira, Kunle Olukotun, Marius Lindauer, Frank Hutter
      Bayesian Optimization with a Prior for the Optimum
      Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), September 2021
      (Arxiv.org) BibTeX
    • Julia Moosbauer, Julia Herbinger, Giuseppe Casalicchio, Marius Lindauer, Bernd Bischl
      Towards Explaining Hyperparameter Optimization via Partial Dependence Plots
      Proceedings of the international workshop on Automated Machine Learning (AutoML) at ICML'21, July 2021
      (Link) BibTeX
    • Reemt Hinrichs, Jonas Dunkel, Jörn Ostermann
      Mixing Time-Frequency Distributions for Speech Command Recognition using Convolutional Neural Networks
      6th International Conference on Frontiers of Signal Processing (ICFSP 2021), September 2021
      (pdf) BibTeX
    • Frederik Schubert, Theresa Eimer, Bodo Rosenhahn, Marius Lindauer
      Towards Automatic Risk Adaption in Distributional Reinforcement Learning
      Reinforcement Learning for Real Life (RL4RealLife) Workshop in the 38th International Conference on Machine Learning (ICML), July 2021
      (Arxiv.org) BibTeX
    • Yuren Cong, Wentong Liao, Hanno Ackermann, Michael Yang Yang, Bodo Rosenhahn
      Spatial-Temporal Transformer for Dynamic Scene Graph Generation
      International Conference on Computer Vision (ICCV), July 2021
      (Arxiv.org) BibTeX
    • Tom Wehrbein, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt
      Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows
      International Conference on Computer Vision (ICCV), IEEE, October 2021
      (pdfArxiv.org, Github) BibTeX
    • Antonia Breuer, Quy Le Xuan, Jan-Aike Termöhlen, Silviu Homoceanu, Tim Fingscheidt
      Quo Vadis? Meaningful Multiple Trajectory Hypotheses Prediction in Autonomous Driving
      24th IEEE International Conference on Intelligent Transportation Systems, ITSC 2021, Indianapolis, IN, United States, September 2021
      (DOI) BibTeX
    • Andrea Hornakova*, Timo Kaiser*, Bodo Rosenhahn, Paul Swoboda, Roberto Henschel, (* equal contribution)
      Higher Order Multiple Object Tracking for Crowded Scenes
      Computer Vision and Pattern Recognition Workshops (CVPRW) , June 2021
      (pdfPDF) BibTeX
    • Andrea Hornakova*, Timo Kaiser*, Michal Rolinek, Bodo Rosenhahn, Paul Swoboda, Roberto Henschel, (* equal contribution)
      Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths
      International Conference on Computer Vision (ICCV), IEEE, October 2021
      (pdf, pdfArxiv.org) BibTeX
    • Katharina Eggensperger, Philipp Müller, Neeratyoy Mallik, Matthias Feurer, René Sass, Aaron Klein, Noor Awad, Marius Lindauer, Frank Hutter
      HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO
      Proceedings of the international conference on Neural Information Processing Systems (NeurIPS) (Datasets and Benchmarks Track), December 2021
      (Arxiv.org) BibTeX
    • Daniel Gritzner, Jörn Ostermann
      Minimizing Manual Labeling Effort for The Semantic Segmentation of Aerial Images
      2021 IEEE Statistical Signal Processing Workshop (SSP), pp. 81--85, 2021
      (IEEEexplore) BibTeX
    • Daniel Gritzner, Jörn Ostermann
      Semantic Segmentation of Aerial Images Using Binary Space Partitioning
      KI 2021: Advances in Artificial Intelligence, Springer International Publishing, pp. 116--134, Cham, 2021, edited by Edelkamp, Stefan; Möller, Ralf; Rueckert, Elmar
      (Springer) BibTeX
    • Julia Moosbauer, Julia Herbinger, Giuseppe Casalicchio, Marius Lindauer, Bernd Bischl
      Explaining Hyperparameter Optimization via Partial Dependence Plots
      Proceedings of the international conference on Neural Information Processing Systems (NeurIPS), December 2021
      (Link) BibTeX
    • Arlind Kadra, Marius Lindauer, Frank Hutter, Josif Grabocka
      Regularization is all you Need: Simple Neural Nets can Excel on Tabular Data
      Proceedings of the international conference on Neural Information Processing Systems (NeurIPS), December 2021
      (Arxiv.org) BibTeX
    • Fabian Hartmann, Jörn Ostermann
      Investigation of the Effect of the Flight Path on the Three Dimensional Locatability of Targets
      Synthetic Aperture Radar (APSAR), 2021 IEEE 7th Asia-Pacific Conference, Synthetic Aperture Radar (APSAR), 2021 IEEE 7th Asia-Pacific Conference, November 2021
      BibTeX
    • Theresa Eimer, Carolin Benjamins, Marius Lindauer
      Hyperparameters in Contextual RL are Highly Situational
      NeurIPS 2021 Workshop on Ecological Theory of Reinforcement Learning, December 2021
      (pdf) BibTeX
    • Carolin Benjamins, Theresa Eimer, Frederik Schubert, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer
      CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
      NeurIPS 2021 Workshop on Ecological Theory of Reinforcement Learning, December 2021
      (Arxiv.org) BibTeX
    • Martin Knura, Florian Kluger, Moris Zahtila, Jochen Schiewe, Bodo Rosenhahn, Dirk Burghardt
      Using Object Detection on Social Media Images for Urban Bicycle Infrastructure Planning: A Case Study of Dresden
      ISPRS International Journal of Geo-Information, October 2021
      (DOI) BibTeX
    • Felix Kuhnke, Sontje Ihler, Jörn Ostermann
      Relative Pose Consistency for Semi-Supervised Head Pose Estimation
      16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021), IEEE, pp. 01-08, Jodhpur, India (Virtual Event), December 2021
      (pdf) BibTeX
    • Daniel Gritzner, Hauke Hinrichs, Chris Stetter, Henrik Wielert, Michael H. Breitner, Jörn Ostermann
      Wind Turbine Localization in Satellite and Aerial Images
      Proceedings of the Wind Energy Science Conference 2021, No. 10, pp. 40-41, 2021
      (Link, Link at Wayback Machine) BibTeX
    • Alexander Dockhorn, Jorge Hurtado-Grueso, Dominik Jeurissen, Linjie Xu, Diego Perez-Liebana
      Portfolio Search and Optimization for General Strategy Game-Playing
      2021 IEEE Congress on Evolutionary Computation (CEC), IEEE, pp. 2085-2092, 2021
      (pdfIEEEexplore) BibTeX
    • Alexander Dockhorn, Jorge Hurtado-Grueso, Dominik Jeurissen, Linjie Xu, Diego Perez-Liebana
      Game State and Action Abstracting Monte Carlo Tree Search for General Strategy Game-Playing
      Proceedings of the 2021 IEEE Conference on Games (CoG), IEEE, pp. 1--8, August 2021
      (pdfIEEEexplore) BibTeX
    • Diego Perez-Liebana, Cristina Guerrero-Romero, Alexander Dockhorn, Linjie Xu, Jorge Hurtado, Dominik Jeurissen
      Generating Diverse and Competitive Play-Styles for Strategy Games
      2021 IEEE Conference on Games (CoG), IEEE, pp. 1-8, 2021
      (pdfIEEEexplore) BibTeX
    • Alexander Dockhorn, Sanaz Mostaghim, Martin Kirst, Martin Zettwitz
      Multi-Objective Optimization and Decision-Making in Context Steering
      2021 IEEE Conference on Games (CoG), IEEE, pp. 1-8, 2021
      (pdfIEEEexplore) BibTeX
    • Christoph Kellermann, Erik Neumann, Jörn Ostermann
      A New Preprocessing Approach to Reduce Computational Complexity for Time Series Forecasting with Neuronal Networks: Temporal Resolution Warping
      2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC), IEEE, pp. 324-328, Rome, Italy, 2021
      (DOI) BibTeX
    • Marc-André Dittrich, Bodo Rosenhahn, Marcus Magnor, Denkena, Malek Berend, Marco Munderloh, Marc Kassubek
      Dreaming neural networks for adaptive polishing
      20th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2020, EUSPEN, pp. 263-266, 2020
      (PDF) BibTeX
    • Andre Biedenkapp, H. Furkan Bozkurt, Theresa Eimer, Frank Hutter, Marius Lindauer
      Algorithm Control: Foundation of a New Meta-Algorithmic Framework
      Proceedings of the European Conference on Artificial Intelligence (ECAI), 2020
      (pdf) BibTeX
    • Florian Kluger, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn
      Temporally Consistent Horizon Lines
      International Conference on Robotics and Automation (ICRA), Paris, France, June 2020
      (Arxiv.org) BibTeX
    • Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn
      CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus
      Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, June 2020
      (Arxiv.org) BibTeX
    • Felix Kuhnke, Lars Rumberg, Jörn Ostermann
      Two-Stream Aural-Visual Affect Analysis in the Wild
      15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), IEEE Computer Society, pp. 366-371, May 2020
      (Link, Arxiv.org, Github) BibTeX
    • Yasser Samayoa, Jörn Ostermann
      Modified Active Constellation Extension Algorithm for PAPR Reduction in OFDM Systems
      2020 Wireless Telecommunications Symposium (WTS), p. 5, Washington, USA, April 2020
      (pdf) BibTeX
    • Reemt Hinrichs, Nan Jiang, Raul Beltran, Thomas Krause, Alexander Lange, Max Käding, Boso Schmidt, Steffen Marx, Jörn Ostermann,
      Analysis of the repeatability of the pencil lead break artificial sound source
      59th Annual British Conference on Non-Destructive Testing, September 2020
      BibTeX
    • David Speck, André Biedenkapp, Frank Hutter, Robert Mattmüller, Marius Lindauer
      Learning Heuristic Selection with Dynamic Algorithm Configuration
      Proceedings of international workshop on Bridging the Gap Between AI Planning and Reinforcement Learning at ICAPS, June 2020
      (Arxiv.org) BibTeX
    • Andrea Hornakova*, Roberto Henschel*, Bodo Rosenhahn, Paul Swoboda, (* equal contribution)
      Lifted Disjoint Paths with Application in Multiple Object Tracking
      Proceedings of the 37th International Conference on Machine Learning (ICML), July 2020
      (pdf, pdfVisual Results, Code, Video Presentation) BibTeX
    • Theresa Eimer, Andre Biedenkapp, Frank Hutter, Marius Lindauer
      Towards Self-Paced Context Evaluations for Contextual Reinforcement Learning
      Workshop on Inductive Biases, Invariances and Generalization in Reinforcement Learning (BIG@ICML'20), July 2020
      (pdf) BibTeX
    • Andre Biedenkapp, Raghu Rajan, Frank Hutter, Marius Lindauer
      Towards TempoRL: Learning When to Act
      Workshop on Inductive Biases, Invariances and Generalization in Reinforcement Learning (BIG@ICML'20), July 2020
      (pdf) BibTeX
    • Artur Souza, Luigi Nardi, Leonardo Oliveira, Kunle Olukotun, Marius Lindauer, Frank Hutter
      Prior-guided Bayesian Optimization
      Proceedings of the Workshop on Meta-Learning (NeurIPS), pp. 1-19, December 2020
      (PDF) BibTeX
    • Petrissa Zell, Bodo Rosenhahn, Bastian Wandt
      Weakly-supervised Learning of Human Dynamics
      European Conference on Computer Vision (ECCV), August 2020
      (Arxiv.org, data) BibTeX
    • Yuren Cong, Hanno Ackermann, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn
      NODIS: Neural Ordinary Differential Scene Understanding
      European Conference on Computer Vision (ECCV), August 2020
      (Arxiv.org) BibTeX
    • Maren Awiszus, Frederik Schubert, Bodo Rosenhahn
      TOAD-GAN: Coherent Style Level Generation from a Single Example
      AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment Best Student Paper Award , October 2020
      (AAAI, Github, Arxiv.org, Award, Talk (YouTube)) BibTeX
    • Henrik Jürgens, Reemt Hinrichs, Jörn Ostermann
      Recognizing Guitar Effects and Their Parameter Settings
      Proceedings of the DAFx2020 (Vol I), 2020
      (pdf) BibTeX
    • Sönke Südbeck, Thomas Krause, Jörn Ostermann
      Non-Line-of-Sight Time-Difference-of-Arrival Localization with Explicit Inclusion of Geometry Information in a Simple Diffraction Scenario
      IEEE MMSP 2020 - IEEE International Workshop on Multimedia Signal Processing, September 2020
      BibTeX
    • Gresa Shala, Andre Biedenkapp, Noor Awad, Steven Adriaensen, Marius Lindauer, Frank Hutter
      Learning Step-Size Adaptation in CMA-ES
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      (pdfArxiv.org) BibTeX
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