D-Index & Metrics Best Publications

Jost Tobias Springenberg

University of Freiburg
Germany

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 34 Citations 13,858 68 World Ranking 7805 National Ranking 371

Rising Stars D-index 34 Citations 13,858 68 World Ranking 769 National Ranking 21

Research.com Recognitions

Awards & Achievements

2023 - Research.com Rising Star of Science Award

2022 - Research.com Rising Star of Science Award

Overview

What is he best known for?

The fields of study Jost Tobias Springenberg is best known for:

Artificial neural network
Deep learning
Machine learning

Jost Tobias Springenberg's looking at Image (mathematics) as part of his Contextual image classification and Similarity (geometry) and Image (mathematics) study. His Similarity (geometry) study frequently draws connections between adjacent fields such as Image (mathematics). In most of his Artificial intelligence studies, his work intersects topics such as Classifier (UML). Pattern recognition (psychology) and Artificial intelligence are commonly linked in his work. His Machine learning study frequently intersects with other fields, such as Convolution (computer science). In his study, Jost Tobias Springenberg carries out multidisciplinary Convolutional neural network and Artificial neural network research. Jost Tobias Springenberg regularly ties together related areas like Convolution (computer science) in his Artificial neural network studies. His Programming language study often links to related topics such as Pipeline (software). His research links Programming language with Pipeline (software).

His most cited work include:

Deep learning with convolutional neural networks for EEG decoding and visualization (1319 citations)
Striving for Simplicity: The All Convolutional Net (784 citations)
Striving for Simplicity: The All Convolutional Net (517 citations)

What are the main themes of his work throughout his whole career to date

Many of his studies involve connections with topics such as Control (management) and Artificial intelligence. His work in Control (management) is not limited to one particular discipline; it also encompasses Artificial intelligence. Jost Tobias Springenberg performs integrative study on Machine learning and Statistics. Jost Tobias Springenberg conducts interdisciplinary study in the fields of Statistics and Machine learning through his works. With his scientific publications, his incorporates both Reinforcement learning and Mathematical optimization. He applies his multidisciplinary studies on Mathematical optimization and Reinforcement learning in his research. Jost Tobias Springenberg performs multidisciplinary study in the fields of Convolutional neural network and Deep learning via his papers. He performs integrative study on Deep learning and Artificial neural network. In his study, he carries out multidisciplinary Artificial neural network and Convolutional neural network research.

Jost Tobias Springenberg most often published in these fields:

Artificial intelligence (100.00%)
Machine learning (68.29%)
Reinforcement learning (46.34%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Striving for Simplicity: The All Convolutional Net

Jost Tobias Springenberg;Alexey Dosovitskiy;Thomas Brox;Martin A. Riedmiller.
international conference on learning representations (2015)

1599 Citations

Auto-sklearn: Efficient and Robust Automated Machine Learning

Matthias Feurer;Aaron Klein;Katharina Eggensperger;Jost Tobias Springenberg.
Automated Machine Learning (2019)

1518 Citations

Deep learning with convolutional neural networks for EEG decoding and visualization.

Robin Tibor Schirrmeister;Jost Tobias Springenberg;Lukas Dominique Josef Fiederer;Martin Glasstetter.
Human Brain Mapping (2017)

1331 Citations

Striving for Simplicity: The All Convolutional Net

Jost Tobias Springenberg;Alexey Dosovitskiy;Thomas Brox;Martin Riedmiller.
arXiv: Learning (2014)

1010 Citations

Efficient and robust automated machine learning

Matthias Feurer;Aaron Klein;Katharina Eggensperger;Jost Tobias Springenberg.
neural information processing systems (2015)

995 Citations

Discriminative Unsupervised Feature Learning with Convolutional Neural Networks

Alexey Dosovitskiy;Jost Tobias Springenberg;Martin Riedmiller;Thomas Brox.
neural information processing systems (2014)

774 Citations

Learning to generate chairs with convolutional neural networks

Alexey Dosovitskiy;Jost Tobias Springenberg;Thomas Brox.
computer vision and pattern recognition (2015)

724 Citations

Multimodal deep learning for robust RGB-D object recognition

Andreas Eitel;Jost Tobias Springenberg;Luciano Spinello;Martin Riedmiller.
intelligent robots and systems (2015)

601 Citations

Embed to control: a locally Linear Latent dynamics model for control from raw images

Manuel Watter;Jost Tobias Springenberg;Joschka Boedecker;Martin Riedmiller.
neural information processing systems (2015)

506 Citations

Speeding up automatic hyperparameter optimization of deep neural networks by extrapolation of learning curves

Tobias Domhan;Jost Tobias Springenberg;Frank Hutter.
international conference on artificial intelligence (2015)

473 Citations

If you think any of the details on this page are incorrect, let us know.

Frequent Co-Authors

External Links

Personal Website for Jost Tobias Springenberg