Rasmussen, Carl Edward

1. Additive Gaussian Processes
   2011/12/19 by David Duvenaud, Hannes Nickisch, Duvenaud, David +3 · 27 citations
   Computer Science · #Gaussian Processes and Bayesian Inference #Machine Learning and Data Classification #Neural Networks and Applications
2. Manifold Gaussian Processes for Regression
   2014/02/24 by Calandra, Roberto, Peters, Jan, Rasmussen, Carl Edward +1 · 6 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Deep Convolutional Networks as shallow Gaussian Processes
   2018/08/16 by Adrià Garriga-Alonso, Carl Edward Rasmussen, Garriga-Alonso, Adrià +3 · 11 citations
   Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Understanding Probabilistic Sparse Gaussian Process Approximations
   2016/06/15 by Bauer, Matthias, van der Wilk, Mark, Rasmussen, Carl Edward · 3 citations
   #FOS: Computer and information sciences #Machine Learning (stat.ML)
5. Convolutional Gaussian Processes
   2017/09/06 by Mark van der Wilk, Carl Edward Rasmussen, van der Wilk, Mark +3 · 3 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Scientific Research and Discoveries #Target Tracking and Data Fusion in Sensor Networks
6. PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos
   2019/02/04 by Parmas, Paavo, Rasmussen, Carl Edward, Peters, Jan +1 · 2 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO)
7. Benchmarking the Neural Linear Model for Regression
   2019/12/18 by Sebastian W. Ober, Carl Edward Rasmussen, Ober, Sebastian W. +1 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
8. ExoPredicator: Learning Abstract Models of Dynamic Worlds for Robot Planning
   2025/09/30 by Liang, Yichao, Nguyen, Dat, Yang, Cambridge +7 · 2 citations
   #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)