NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (16)

cs.LG2019

Self-supervised Learning of Image Embedding for Continuous Control

Carlos Florensa, Jonas Degrave, Nicolas Heess +2

cs.LG2018

Graph networks as learnable physics engines for inference and control

Alvaro Sanchez-Gonzalez, Nicolas Heess, Jost Tobias Springenberg +4

cs.LG2015

Striving for Simplicity: The All Convolutional Net

Jost Tobias Springenberg, Alexey Dosovitskiy, Thomas Brox +1

stat.ML2014

Improving Deep Neural Networks with Probabilistic Maxout Units

Jost Tobias Springenberg, Martin Riedmiller

cs.LG2018

Relative Entropy Regularized Policy Iteration

Abbas Abdolmaleki, Jost Tobias Springenberg, Jonas Degrave +5

stat.ML2016

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Jost Tobias Springenberg

cs.RO2017

Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments

Jingwei Zhang, Jost Tobias Springenberg, Joschka Boedecker +1

cs.CV2014

Unsupervised feature learning by augmenting single images

Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox

cs.LG2018

Maximum a Posteriori Policy Optimisation

Abbas Abdolmaleki, Jost Tobias Springenberg, Yuval Tassa +3

cs.CV2015

Multimodal Deep Learning for Robust RGB-D Object Recognition

Andreas Eitel, Jost Tobias Springenberg, Luciano Spinello +2

stat.ML2016

Asynchronous Stochastic Gradient MCMC with Elastic Coupling

Jost Tobias Springenberg, Aaron Klein, Stefan Falkner +1

cs.CV2017

Learning to Generate Chairs, Tables and Cars with Convolutional Networks

Alexey Dosovitskiy, Jost Tobias Springenberg, Maxim Tatarchenko +1

cs.LG2015

Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks

Alexey Dosovitskiy, Philipp Fischer, Jost Tobias Springenberg +2

cs.LG2015

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

Manuel Watter, Jost Tobias Springenberg, Joschka Boedecker +1

cs.LG2018

Deep learning with convolutional neural networks for EEG decoding and visualization

Robin Tibor Schirrmeister, Jost Tobias Springenberg, Lukas Dominique Josef Fiederer +6

cs.LG2018

Learning by Playing - Solving Sparse Reward Tasks from Scratch

Martin Riedmiller, Roland Hafner, Thomas Lampe +6