Ausgewählte Publikationen
2019
Lindner F, Mattmüller R, Nebel B (2019) Moral Permissibility of Action Plans. In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19).
2018
Bolander T, Engesser T, Mattmüller R, Nebel B (2018) Better Eager Than Lazy? How Agent Types Impact the Successfulness of Implicit Coordination. In Proceedings of the Sixteenth Conference on Principles of Knowledge Representation and Reasoning (KR18), S. 445-453. 2018.
Boniardi F, Caselitz T, Kümmerle R, Burgard W (2018) A pose graph-based localization system for long-term navigation in CAD floor plans. Rob Auton Syst 112: 84-97, doi: org/10.1016/j.robot.2018.11.003
Glanz (Iljina) O, Derix J, Kaur R, Schulze-Bonhage A, Auer P, Aertsen A, Ball T (2018) Real-life speech production and perception have a shared premotor-cortical substrate. Sci Rep 8: 8898, doi.org/10.1038/s41598-018-26801.
Hügle M, Heller S, Watter M, Blum M, Manzouri F, Dümpelmann M, Schulze-Bonhage A, Woias P, Boedecker J (2018) Early seizure detection with an energy-efficient convolutional neural network on an implantable microcontroller. International Joint Conference on Neural Networks (IJCNN).
Kuhner D, Fiederer LDJ, Aldinger J, Burget F, Völker M, Schirrmeister RT, Do C, Boedecker J, Nebel B, Ball T, Burgard W (2018) Deep learning based BCI control of a robotic service assistant using intelligent goal formulation. BioRxiv 26: 282848, doi: 10.1101/282848.
Mirchevska B, Pek C, Werling M, Althoff M, Boedecker J (2018) High-level decision making for safe and reasonable autonomous lane changing using reinforcement learning. IEEE Int. Conf. on Intelligent Transportation Systems (ITSC).
Völker M, Fiederer LDJ, Berberich S, Hammer J, Behncke J, Kršek P, Tomášek M, Marusič P, Reinacher PC, Coenen VA, Helias M, Schulze-Bonhage A, Burgard W, Ball T (2018) The dynamics of error processing in the human brain as reflected by high-gamma activity in noninvasive and intracranial EEG. Neuroimage 173: 564–79, doi: 10.1016/j.neuroimage.2018.01.059.
Völker M, Schirrmeister RT, Fiederer LDJ, Burgard W, Ball T (2018) Deep transfer learning for error decoding from non-invasive EEG. 6th International Conference on Brain-Computer Interface (BCI) 1–6, doi:10.1109/IWW-BCI.2018.8311491.
Wülfing J, Kumar SS, Boedecker J, Riedmiller M, Egert U (2018) Controlling biological neural networks with deep reinforcement learning. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN).
2017
Bast H, Buchhold B, Haussmann E, Heindorf S, Potthast M (2017) WDSM Cup 2017: Vandalism Detection and Triple Scoring.
Burget F, Fiederer LDJ, Kuhner D, Völker M, Aldinger J, Schirrmeister RT, Do C, Boedecker J, Nebel B, Ball T, Burgard W (2017) Acting thoughts: Towards a mobile robotic service assistant for users with limited communication skills. European Conference on Mobile Robots (ECMR).
Ilg E, Mayer N, Saikia T, Keuper M, Dosovitskiy A, Brox T (2017) FlowNet 2.0: Evolution of optical flow estimation with deep networks. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), doi: 10.1109/CVPR.2017.179.
Kalweit G, Boedecker J (2017) Uncertainty-driven imagination for continuous deep reinforcement learning. 1st Annual Conference on Robot Learning (CORL).
Lindner F, Bentzen MM, Nebel B (2017) The HERA Approach to Morally Competent Robots. In Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017). 2017.
Schirrmeister R, Springenberg JT, Fiederer L, Glasstetter M, Eggensperger K, Tangermann M, Hutter F, Burgard W, Ball T (2017) Deep learning with convolutional neural networks for EEG decoding and visualization. Hum Brain Mapp 38: 5391-420, doi 10.1002/hbm.23730.
Speck D, Dornhege C, Burgard W (2017) Shakey 2016 - How much does it take to redo Shakey the robot? IEEE Robot Autom Lett (RA-L) 2: 1203-09
Tatarchenko M, Dosovitskiy A, Brox T (2017) Octree generating networks. IEEE International Conference on Computer Vision (ICCV), doi: 10.1109/ICCV.2017.230.
Ummenhofer B, Brox T (2017) Global, dense multiscale reconstruction for a billion points. Int J Comput Vis 125: 82-94.
Wachaja A, Agarwal P, Zink M, Adame MR, Möller K, Burgard W (2017) Navigating blind people with walking impairments using a smart walker. Auton Robots 41: 555-73.
Zhang J, Springenberg JT, Boedecker J, Burgard W (2017) Deep reinforcement learning with successor features for navigation across similar environments. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS): 2371–78, doi: 10.1109/IROS.2017.8206049.
2016
Abdo N, Stachniss C, Spinello L, Burgard W (2016) Organizing objects by predicting user preferences through collaborative filtering. Int J Robot Res 35: 1587-608.
Bast H, Buchhold B, Haussmann E (2016) Semantic Search on Text and Knowledge Bases. FnTIR 2016
Dosovitskiy A, Fischer P, Springenberg JT, Riedmiller M, Brox T (2016) Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks. IEEE Trans Pattern Anal Mach Intell 38: 1734-47.
Fiederer LDJ, Vorwerk J, Lucka F, Dannhauer M, Yang S, Dümpelmann M, Schulze-Bonhage A, Aertsen A, Speck O, Wolters CH, Ball T (2016) The role of blood vessels in high-resolution volume conductor head modeling of EEG. Neuroimage 128: 193-208, doi.org/10.1016/j.neuroimage.2015.12.041.
Hammer J, Pistohl T, Fischer J, Kršek P, Tomášek M, Marusič P, Schulze-Bonhage A, Aertsen A, Ball T (2016) Predominance of movement speed over direction in neuronal population signals of motor cortex: intracranial EEG data and a simple explanatory model. Cereb Cortex 26: 2863-81, doi:10.1093/cercor/bhw033.
Kretzschmar H, Spies M, Sprunk C, Burgard W (2016) Socially compliant mobile robot navigation via inverse reinforcement learning. Int J Robot Res 35: 1289-307.
Kumar SS, Wülfing J, Okujeni S, Boedecker J, Riedmiller M, Egert U (2016) Autonomous optimization of targeted stimulation of neuronal networks. PLoS Comput Biol 12: e1005054.
Springenberg JT, Klein A, Falkner S, Hutter F (2016) Bayesian optimization with robust Bayesian neural networks. Adv Neural Inf Process Syst 29 (NIPS 2016).
Springenberg JT, Wilmes K, Boedecker J (2016) Towards local learning and MCMC inference in biologically plausible deep generative networks. NIPS Workshop Brains and Bits: Neuroscience Meets Machine Learning.
2015
Bast H, Haussmann E (2015) More Accurate Question Answering on Freebase. Materials CIKM 2015
Dosovitskiy A, Fischer P, Ilg E, Häusser P, Hazırbaş C, Golkov V, Smagt P, Cremers D, Brox T (2015) FlowNet: Learning optical flow with convolutional networks. IEEE International Conference on Computer Vision (ICCV) 2758-66, doi: 10.1109/ICCV.2015.316.
Dosovitskiy A, Springenberg JT, Brox T (2015) Learning to generate chairs with convolutional neural networks. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), doi: 10.1109/CVPR.2015.7298761.
Feurer M, Klein A, Eggensperger K, Springenberg JT, Blum M, Hutter F (2015) Efficient and robust automated machine learning. Adv Neural Inf Process Syst 28 (NIPS 2015).
Ronneberger O, Fischer P, Brox T (2015) U-Net: convolutional networks for biomedical image segmentation. Med Image Comput Comput Assist Interv (MICCAI), Springer LNCS 9351: 234-41.
Schröer S, Killmann I, Frank B, Völker M, Fiederer L, Ball T, Burgard W (2015) An autonomous robotic assistant for drinking. 2015 IEEE International Conference on Robotics and Automation (ICRA), 6482–487, doi:10.1109/ICRA.2015.7140110.
Watter M, Springenberg JT, Boedecker J, Riedmiller M (2015) Embed to control: A locally linear latent dynamics model for control from raw images. Adv Neural Inf Process Syst (NIPS) 28: 2728-36.
2014
Boedecker J, Springenberg JT, Wülfing J, Riedmiller M (2014) Approximate real-time optimal control based on sparse gaussian process models. Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), doi 10.1109/ADPRL.2014.7010608.
Endres F, Hess J, Sturm J, Cremers D, Burgard W (2014) 3D Mapping with an RGB-D camera. IEEE Trans Robot 30: 177-87.
Hutter F, Hoos HH, Leyton-Brown K (2014) An efficient approach for assessing hyperparameter importance. 31st International Conference on Machine Learning (ICML 2014).
Hutter F, Xu L, Hoos HH, Leyton-Brown K (2014) Algorithm runtime prediction: methods & evaluation. Artif Intell 206: 79-111.
Kümmerle R, Ruhnke M, Steder B, Stachniss C, Burgard W (2014) Autonomous robot navigation in highly populated pedestrian zones. J Field Robot 32: 565-89.
Lampe T, Fiederer LDJ, Voelker M, Knorr A, Riedmiller M, Ball T (2014) A brain-computer interface for high-level remote control of an autonomous, reinforcement-learning-based robotic system for reaching and grasping. 19th International Conference on Intelligent User Interfaces, 83–88, doi:10.1145/2557500.2557533.
Löhr J, Wehrle M, Fox M, Nebel B (2014) Symbolic Domain Predictive Control. In Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI 2014), S. 2315-23-21. AAAI Press 2014.
Ochs P, Malik J, Brox T (2014) Segmentation of moving objects by long term video analysis. IEEE Trans Pattern Anal Mach Intell 36: 1187-200.
2013
Thornton C, Hutter F, Hoos HH, and Leyton-Brown K (2013) Auto-WEKA: Combined selection and hyper-parameter optimization of classification algorithms. 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2013).
Wang Z, Zhogi M, Hutter F, Matheson D, de Freitas N (2013) Bayesian optimization in high dimensions via random embeddings. 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013)
2012
Bast H, Bäurle F, Buchhold B, Haussmann E (2012) Broccoli: Semantic Full-Text Search at your Fingertips.
2012 CoRR, Band: abs/1207.2615
2011
Brox T, Malik J (2011) Large displacement optical flow: descriptor matching in variational motion estimation. IEEE Trans Pattern Anal Mach Intell 33: 500-13.
Hutter F, Hoos HH, Leyton-Brown K (2011) Sequential model-based optimization for general algorithm configuration. Learning and Intelligent Optimization (LION-5).
2010
Bast H, Carlsson E, Eigenwillig A, Geisberger R, Harrelson C, Raychev V, Viger F (2010) Fast Routing in Very Large Public Transportation Networks Using Transfer Patterns 2010 ESA (1), Seiten: 290 - 301
Göbelbecker M, Keller T, Eyerich P, Brenner M, Nebel B (2010) Coming Up with Good Excuses: What To Do When No Plan Can be Found. In Proceedings of the 20th International Conference on Automated Planning and Scheduling (ICAPS 2010), pp. 81-88. AAAI Press 2010.
2009
Brenner M, Nebel B (2009) Continual Planning and Acting in Dynamic Multiagent Environments. Journal of Autonomous Agents and Multiagent Systems 19 (3), S. 297-331. 2009.
Hutter F, Hoos HH, and Leyton-Brown K, Stützle T (2009) ParamILS: An Automatic Algorithm Configuration Framework. J Artif Intell Res 36: 267–306.
2008
Xu L, Hutter F, Hoos HH, Leyton-Brown K (2008) SATzilla: Portfolio-based algorithm selection for SAT. J Artif Intell Res 32: 565–606.
2007
Bast H, Chitea A, Suchanek FM, Weber I (2007) ESTER: efficient search on text, entities, and relations. SIGIR 2007: 671-678
Bast H, Funke S, Schultes D, Sanders P (2007) Ultrafast Shortest-Path Queries in Road Networks. Science 2008 and ALENEX 2007
2006
Bast H, Weber I (2006) Type less, find more: Fast Autocompletion Search with a Succinct Index. SIGIR 2006 and CIDR 2007
Bast H, Majumdar D, Weikum G, Theobald M, Schenkl R (2006) Top-k query processing. VLDB 2006
2005
Bast H, Majumdar D (2005) Why Spectral Retrieval Works. SIGIR 2005
Choset H, Lynch K, Hutchinson S, Kantor G, Burgard W, Kavraki L, Thrun S (2005) Principles of robot motion: Theory, Algorithms and Implementation. MIT-Press.
Thiebaux S, Hoffmann J, Nebel B (2005) In Defense of Axioms in PDDL. Artificial Intelligence 168 (1-2), S. 38-69. 2005.
Thrun S, Burgard W, Fox D (2005) Probabilistic robotics. MIT-Press.
2004
Brox T, Bruhn A, Papenberg N, Weickert J (2004) High accuracy optical flow estimation based on a theory for warping. European Conference on Computer Vision (ECCV), Springer LNCS 3024: 25-36.
2001
Hoffmann J, Nebel B(2001) The FF Planning System: Fast Plan Generation Through Heuristic Search. Journal of Artificial Intelligence Research 14, S. 253-302. 2001.
2000
Nebel B (2000) On the Compilability and Expressive Power of Propositional Planning Formalisms.
Journal of Artificial Intelligence Research 12, S. 271-315. 2000.
1995
Nebel B, Bürckert H-J (1995) Reasoning about Temporal Relations: A Maximal Tractable Subclass of Allen's Interval Algebra. Journal of the ACM 42, pp. 43-66. 1995.