Filip Tronarp

1. Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective
   2019/09/18 by Filip Tronarp, Hans Kersting, Simo Särkkä +1 · 3 citations
   Computer Science · Engineering · #Control Systems and Identification #Gaussian Processes and Bayesian Inference #Target Tracking and Data Fusion in Sensor Networks
2. Maximum likelihood estimation and uncertainty quantification for\n Gaussian process approximation of deterministic functions
   2020/01/29 by Toni Karvonen, Karvonen, Toni, George Wynne +7 · 2 citations
   Computer Science · Decision Sciences · Mathematics · #Gaussian Processes and Bayesian Inference #Probabilistic and Robust Engineering Design #Statistical Methods and Inference
3. Fenrir: Physics-Enhanced Regression for Initial Value Problems
   2022/02/02 by Filip Tronarp, Tronarp, Filip, Nathanael Bosch +3 · 2 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
4. A probabilistic Taylor expansion with Gaussian processes
   2021/02/01 by Toni Karvonen, Jon Cockayne, Karvonen, Toni +5 · 1 citation
   Computer Science · Chemistry · Environmental Science · #Gaussian Processes and Bayesian Inference #Spectroscopy and Chemometric Analyses #Air Quality Monitoring and Forecasting