Jost Tobias Springenberg

Publications by Year

Research Areas

Reinforcement Learning in Robotics, Domain Adaptation and Few-Shot Learning, Adversarial Robustness in Machine Learning, Robot Manipulation and Learning, Machine Learning and Algorithms

Most-Cited Works

• → Deep learning with convolutional neural networks for EEG decoding and visualization(2017)3,295 cited
• → Striving for Simplicity: The All Convolutional Net(2014)2,592 cited
• Efficient and robust automated machine learning(2015)
• → Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks(2015)748 cited
• → Learning to generate chairs with convolutional neural networks(2015)680 cited
• Discriminative Unsupervised Feature Learning with Convolutional Neural Networks(2014)
• Embed to control: a locally Linear Latent dynamics model for control from raw images(2015)
• Speeding up automatic hyperparameter optimization of deep neural networks by extrapolation of learning curves(2015)
• → Unsupervised and Semi-supervised Learning with Categorical Generative\n Adversarial Networks(2015)397 cited
• → Auto-sklearn: Efficient and Robust Automated Machine Learning(2019)396 cited