Carl Edward Rasmussen

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. Deep Convolutional Networks as shallow Gaussian Processes
   2018/08/16 by Adrià Garriga-Alonso, Garriga-Alonso, Adrià, Carl Edward Rasmussen +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)
3. Rates of Convergence for Sparse Variational Gaussian Process Regression
   2019/03/08 by David R. Burt, Burt, David R., Carl Edward Rasmussen +3 · 3 citations
   Computer Science · Engineering · #Advanced Multi-Objective Optimization Algorithms #Control Systems and Identification #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Convolutional Gaussian Processes
   2017/09/06 by Mark van der Wilk, van der Wilk, Mark, Carl Edward Rasmussen +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
5. Kernel Identification Through Transformers
   2021/06/15 by Fergus Simpson, Simpson, Fergus, Ian Davies +9 · 2 citations
   Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
6. 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