Christian Osendorfer
- Learning Stochastic Recurrent Networks
2014/11/27 by Justin Bayer, Bayer, Justin, Christian Osendorfer +1 · 17 citations
Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Neural Networks and Applications
- Recurrent Neural Processes
2019/06/13 by Timon Willi, Willi, Timon, Jonathan Masci +5 · 1 voice · 4 citations
Computer Science · Mathematics · #Artificial Intelligence in Games #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Topic Modeling #cs.LG #stat.ML
- On Fast Dropout and its Applicability to Recurrent Networks
2013/11/04 by Justin Bayer, Bayer, Justin, Christian Osendorfer +9 · 6 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
- NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations
2018/04/19 by Marco Ciccone, Ciccone, Marco, Marco Gallieri +7 · 3 citations
Computer Science · Engineering · Physics and Astronomy · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
- Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image\n Style Transfer
2019/06/07 by Jan Svoboda, Asha Anoosheh, Svoboda, Jan +5 · 1 citation
Computer Science · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image Enhancement Techniques #Machine Learning (cs.LG)