Jost Tobias Springenberg
Jost Tobias Springenberg
Verified email at informatik.uni-freiburg.de - Homepage
Title
Cited by
Cited by
Year
Striving for simplicity: The all convolutional net
JT Springenberg, A Dosovitskiy, T Brox, M Riedmiller
arXiv preprint arXiv:1412.6806, 2014
21952014
Efficient and robust automated machine learning
M Feurer, A Klein, K Eggensperger, J Springenberg, M Blum, F Hutter
Advances in neural information processing systems, 2962-2970, 2015
7482015
Learning to generate chairs with convolutional neural networks
A Dosovitskiy, J Tobias Springenberg, T Brox
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
5882015
Deep learning with convolutional neural networks for EEG decoding and visualization
RT Schirrmeister, JT Springenberg, LDJ Fiederer, M Glasstetter, ...
Human brain mapping 38 (11), 5391-5420, 2017
5662017
Unsupervised and semi-supervised learning with categorical generative adversarial networks
JT Springenberg
arXiv preprint arXiv:1511.06390, 2015
4682015
Multimodal deep learning for robust RGB-D object recognition
A Eitel, JT Springenberg, L Spinello, M Riedmiller, W Burgard
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
4502015
Discriminative unsupervised feature learning with convolutional neural networks
A Dosovitskiy, JT Springenberg, M Riedmiller, T Brox
Advances in neural information processing systems, 766-774, 2014
4012014
Embed to control: A locally linear latent dynamics model for control from raw images
M Watter, J Springenberg, J Boedecker, M Riedmiller
Advances in neural information processing systems, 2746-2754, 2015
3802015
Speeding up automatic hyperparameter optimization of deep neural networks by extrapolation of learning curves
T Domhan, JT Springenberg, F Hutter
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
2772015
Initializing bayesian hyperparameter optimization via meta-learning
M Feurer, JT Springenberg, F Hutter
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2272015
A learned feature descriptor for object recognition in rgb-d data
M Blum, JT Springenberg, J Wülfing, M Riedmiller
2012 IEEE International Conference on Robotics and Automation, 1298-1303, 2012
2172012
Discriminative unsupervised feature learning with exemplar convolutional neural networks
A Dosovitskiy, P Fischer, JT Springenberg, M Riedmiller, T Brox
IEEE transactions on pattern analysis and machine intelligence 38 (9), 1734-1747, 2015
2162015
Learning to generate chairs, tables and cars with convolutional networks
A Dosovitskiy, JT Springenberg, M Tatarchenko, T Brox
IEEE transactions on pattern analysis and machine intelligence 39 (4), 692-705, 2016
1502016
Graph networks as learnable physics engines for inference and control
A Sanchez-Gonzalez, N Heess, JT Springenberg, J Merel, M Riedmiller, ...
arXiv preprint arXiv:1806.01242, 2018
1392018
Learning by playing-solving sparse reward tasks from scratch
M Riedmiller, R Hafner, T Lampe, M Neunert, J Degrave, T Van de Wiele, ...
arXiv preprint arXiv:1802.10567, 2018
1322018
Deep reinforcement learning with successor features for navigation across similar environments
J Zhang, JT Springenberg, J Boedecker, W Burgard
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
1172017
Maximum a posteriori policy optimisation
A Abdolmaleki, JT Springenberg, Y Tassa, R Munos, N Heess, ...
arXiv preprint arXiv:1806.06920, 2018
1122018
Towards automatically-tuned neural networks
H Mendoza, A Klein, M Feurer, JT Springenberg, F Hutter
Workshop on Automatic Machine Learning, 58-65, 2016
1082016
Improving deep neural networks with probabilistic maxout units
JT Springenberg, M Riedmiller
arXiv preprint arXiv:1312.6116, 2013
902013
Vlocnet++: Deep multitask learning for semantic visual localization and odometry
N Radwan, A Valada, W Burgard
IEEE Robotics and Automation Letters 3 (4), 4407-4414, 2018
88*2018
The system can't perform the operation now. Try again later.
Articles 1–20