Tronarp, Filip

1. Probabilistic Solutions To Ordinary Differential Equations As Non-Linear Bayesian Filtering: A New Perspective
   2018/10/08 by Filip Tronarp, Tronarp, Filip, Hans Kersting +5 · 8 citations
   Computer Science · Engineering · #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)
2. Bayesian ODE Solvers: The Maximum A Posteriori Estimate
   2020/04/01 by Tronarp, Filip, Sarkka, Simo, Hennig, Philipp · 5 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Methodology (stat.ME) #Numerical Analysis (math.NA)
3. Fenrir: Physics-Enhanced Regression for Initial Value Problems
   2022/02/02 by Filip Tronarp, Nathanael Bosch, Tronarp, Filip +3 · 3 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. Maximum likelihood estimation and uncertainty quantification for\n Gaussian process approximation of deterministic functions
   2020/01/29 by Toni Karvonen, George Wynne, Karvonen, Toni +7 · 2 citations
   Computer Science · Decision Sciences · Mathematics · #Gaussian Processes and Bayesian Inference #Probabilistic and Robust Engineering Design #Statistical Methods and Inference
5. The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions
   2023/06/13 by Schmidt, Jonathan, Hennig, Philipp, Nick, Jörg +1 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Calibrated Adaptive Probabilistic ODE Solvers
   2020/12/15 by Nathanael Bosch, Philipp Hennig, Bosch, Nathanael +3 · 1 citation
   Physics and Astronomy · Computer Science · Decision Sciences · #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference #Probabilistic and Robust Engineering Design
7. 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
8. Pick-and-Mix Information Operators for Probabilistic ODE Solvers
   2021/10/20 by Bosch, Nathanael, Tronarp, Filip, Hennig, Philipp · 1 citation
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA)
9. Orthonormal Expansions for Translation-Invariant Kernels
   2022/06/17 by Filip Tronarp, Tronarp, Filip, Toni Karvonen +1 · 1 citation
   Earth and Planetary Sciences · Engineering · Physics and Astronomy · #Classical Analysis and ODEs (math.CA) #Elasticity and Material Modeling #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Seismic Imaging and Inversion Techniques
10. Propagating Model Uncertainty through Filtering-based Probabilistic Numerical ODE Solvers
    2025/03/06 by Yao, Dingling, Tronarp, Filip, Bosch, Nathanael · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA)