Mannerström, Henrik

1. Learning unknown ODE models with Gaussian processes
   2018/03/12 by Markus Heinonen, Çağatay Yıldız, Heinonen, Markus +7 · 16 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 (stat.ML)
2. Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo
   2015/08/18 by Markus Heinonen, Heinonen, Markus, Henrik Mannerström +7 · 7 citations
   Computer Science · Mathematics · #Gaussian Processes and Bayesian Inference #Advanced Multi-Objective Optimization Algorithms #Markov Chains and Monte Carlo Methods
3. Learning Stochastic Differential Equations With Gaussian Processes\n Without Gradient Matching
   2018/07/16 by Çağatay Yıldız, Yildiz, Cagatay, Markus Heinonen +7 · 4 citations
   Computer Science · Physics and Astronomy · #Data Stream Mining Techniques #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks