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Jost Tobias Springenberg

Machine Learning Lab
University of Freiburg

Room 079/00010
Georges-Koehler-Allee 079
79110 Freiburg im Breisgau
Germany

Phone: +49 761 203 8048
Email: springj@informatik.uni-freiburg.de

This website is only periodically updated! Please visit my personal website for more information about my research.

Publications

2016

  • Jost Tobias Springenberg (2016) Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks. In International Conference on Learning Representations (ICLR). web Bibtex
  • J. T. Springenberg, A. Klein, S. Falkner, F. Hutter (2016) Bayesian Optimization with Robust Bayesian Neural Networks. In Advances in Neural Information Processing Systems 29. Bibtex

2015

  • M. Feurer, T. Springenberg, F. Hutter (2015) Initializing Bayesian Hyperparameter Optimization via Meta-Learning. In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence. web Bibtex
  • T. Domhan, J. T. Springenberg, F. Hutter (2015) Speeding up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves. In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI). web Bibtex
  • Wendelin Böhmer, Jost Tobias Springenberg, Joschka Boedecker, Martin Riedmiller, Klaus Obermayer (2015) Autonomous Learning of State Representations for Control: An Emerging Field Aims to Autonomously Learn State Representations for Reinforcement Learning Agents from Their Real-World Sensor Observations. KI - Künstliche Intelligenz pp. 1-10. Springer Berlin Heidelberg. doi web Bibtex
  • A.Dosovitskiy, J.T.Springenberg, T.Brox (2015) Learning to Generate Chairs with Convolutional Neural Networks. In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR). web Bibtex
  • J. T. Springenberg, A. Dosovitskiy, T. Brox, M. Riedmiller (2015) Striving for Simplicity: The All Convolutional Net. In arXiv:1412.6806, also appeared at ICLR 2015 Workshop Track. web Bibtex
  • Matthias Feurer, Aaron Klein, Katharina Eggensperger, Jost Tobias Springenberg, Manuel Blum, Frank Hutter (2015) Efficient and Robust Automated Machine Learning. In Advances in Neural Information Processing Systems. PDF Bibtex
  • A. Eitel, J. T. Springenberg, L. Spinello, M. Riedmiller, W. Burgard (2015) Multimodal Deep Learning for Robust RGB-D Object Recognition. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). web Bibtex
  • Manuel Watter, Jost Springenberg, Joschka Boedecker, Martin Riedmiller (2015) Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images. In Advances in Neural Information Processing Systems 28. pp. 2728–2736. PDF Bibtex

2014

  • Tobias Domhan, Jost Tobias Springenberg, Frank Hutter (2014) Extrapolating Learning Curves of Deep Neural Networks. In ICML 2014 AutoML Workshop. web Bibtex
  • Matthias Feurer, Jost Tobias Springenberg, Frank Hutter (2014) Using Meta-Learning to Initialize Bayesian Optimization of Hyperparameters. In ECAI workshop on Metalearning and Algorithm Selection (MetaSel). web Bibtex
  • Joschka Boedecker, Jost Tobias Springenberg, Jan Wülfing, Martin Riedmiller (2014) Approximate Real-Time Optimal Control Based on Sparse Gaussian Process Models. In Adaptive Dynamic Programming and Reinforcement Learning (ADPRL). PDF Bibtex
  • Alexey Dosovitskiy, Jost Tobias Springenberg, Martin Riedmiller, Thomas Brox (2014) Discriminative Unsupervised Feature Learning with Convolutional Neural Networks. In 28th Annual Conference on Neural Information Processing Systems (NIPS). Bibtex

2013

  • Jost Tobias Springenberg, Martin Riedmiller (2013) Improving Deep Neural Networks with Probabilistic Maxout Units. In arXiv:1312.6116, also appeared at ICLR 2014 Workshop Track. web Bibtex
  • Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox (2013) Unsupervised feature learning by augmenting single images . In arXiv:1312.5242, also appeared at ICLR 2014 Workshop Track. web Bibtex

2012

  • Manuel Blum, Jost Tobias Springenberg, Jan Wülfing, Martin Riedmiller (2012) A Learned Feature Descriptor for Object Recognition in RGB-D Data. In IEEE International Conference on Robotics and Automation (ICRA). St. Paul, Minnesota, USA. PDF Bibtex
  • Jost Tobias Springenberg, Martin Riedmiller (2012) Learning temporal coherent features through life-time sparsity. In International Conference on Neural Information Processing (ICONIP). pp. 347–356. Bibtex

2011

  • Manuel Blum, Jost Tobias Springenberg, Jan Wülfing, Martin Riedmiller (2011) On the Applicability of Unsupervised Feature Learning for Object Recognition in RGB-D Data. In NIPS Workshop on Deep Learning and Unsupervised Feature Learning. Granada, Spain. PDF Bibtex