Justin Bayer
Volkswagen Group (United States)(US)
Publications by Year
Research Areas
Gaussian Processes and Bayesian Inference, Neural Networks and Applications, Human Pose and Action Recognition, Generative Adversarial Networks and Image Synthesis, Muscle activation and electromyography studies
Most-Cited Works
- → Learning Stochastic Recurrent Networks(2014)195 cited
- → Deep Variational Bayes Filters: Unsupervised Learning of State Space\n Models from Raw Data(2016)182 cited
- → Evolving Memory Cell Structures for Sequence Learning(2009)108 cited
- Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series(2016)
- → Efficient movement representation by embedding Dynamic Movement Primitives in deep autoencoders(2015)46 cited
- → On Fast Dropout and its Applicability to Recurrent Networks(2013)45 cited
- → Metrics for Deep Generative Models(2017)35 cited
- → Unsupervised Real-Time Control Through Variational Empowerment(2022)32 cited