# Jost Tobias Springenberg

According to our database

Collaborative distances:

^{1}, Jost Tobias Springenberg authored at least 26 papers between 2012 and 2018.Collaborative distances:

## Timeline

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## Bibliography

2018

Graph Networks as Learnable Physics Engines for Inference and Control.

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning by Playing Solving Sparse Reward Tasks from Scratch.

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning an Embedding Space for Transferable Robot Skills.

Proceedings of the 6th International Conference on Learning Representations, 2018

Maximum a Posteriori Policy Optimisation.

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Learning to Generate Chairs, Tables and Cars with Convolutional Networks.

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Deep reinforcement learning with successor features for navigation across similar environments.

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Learning Curve Prediction with Bayesian Neural Networks.

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks.

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks.

Proceedings of the 4th International Conference on Learning Representations, 2016

Bayesian Optimization with Robust Bayesian Neural Networks.

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Towards Automatically-Tuned Neural Networks.

Proceedings of the 2016 Workshop on Automatic Machine Learning, 2016

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, 2015

Striving for Simplicity: The All Convolutional Net.

Proceedings of the 3rd International Conference on Learning Representations, 2015

Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images.

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Efficient and Robust Automated Machine Learning.

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Multimodal deep learning for robust RGB-D object recognition.

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Speeding Up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves.

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Learning to generate chairs with convolutional neural networks.

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Initializing Bayesian Hyperparameter Optimization via Meta-Learning.

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Improving Deep Neural Networks with Probabilistic Maxout Units.

Proceedings of the 2nd International Conference on Learning Representations, 2014

Unsupervised feature learning by augmenting single images.

Proceedings of the 2nd International Conference on Learning Representations, 2014

Discriminative Unsupervised Feature Learning with Convolutional Neural Networks.

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Using Meta-Learning to Initialize Bayesian Optimization of Hyperparameters.

Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, 2014

Approximate real-time optimal control based on sparse Gaussian process models.

Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2012

A learned feature descriptor for object recognition in RGB-D data.

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Learning Temporal Coherent Features through Life-Time Sparsity.

Proceedings of the Neural Information Processing - 19th International Conference, 2012