Särkkä, Simo
- A probabilistic model for the numerical solution of initial value problems
2016/10/17 by Schober, Michael, Särkkä, Simo, Hennig, Philipp · 6 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA)
- Probabilistic Solutions To Ordinary Differential Equations As Non-Linear Bayesian Filtering: A New Perspective
2018/10/08 by Tronarp, Filip, Kersting, Hans, Särkkä, Simo +1 · 6 citations
#Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)
- Computationally Efficient Bayesian Learning of Gaussian Process State Space Models
2015/06/07 by Andreas Svensson, Svensson, Andreas, Arno Solin +5 · 4 citations
Computer Science · Engineering · #Computation (stat.CO) #FOS: Computer and information sciences #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Target Tracking and Data Fusion in Sensor Networks
- A Bayes-Sard Cubature Method
2018/04/09 by Toni Karvonen, Karvonen, Toni, Chris J. Oates +3 · 5 citations
Decision Sciences · Computer Science · #Probabilistic and Robust Engineering Design #Advanced Multi-Objective Optimization Algorithms #Gaussian Processes and Bayesian Inference
- Temporal Parallelization of Bayesian Smoothers
2019/05/30 by Särkkä, Simo, García-Fernández, Ángel F. · 5 citations
#Computation (stat.CO) #Distributed #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Parallel #and Cluster Computing (cs.DC)
- Parallel square-root statistical linear regression for inference in nonlinear state space models
2022/06/29 by Fatemeh Yaghoobi, Adrien Corenflos, Yaghoobi, Fatemeh +5 · 4 citations
Engineering · Computer Science · #Fault Detection and Control Systems #Control Systems and Identification #Blind Source Separation Techniques
- Modeling and interpolation of the ambient magnetic field by Gaussian processes
2015/09/15 by Solin, Arno, Kok, Manon, Wahlström, Niklas +2 · 2 citations
#FOS: Computer and information sciences #Machine Learning (stat.ML) #Robotics (cs.RO)
- Gyroscope-Aided Motion Deblurring with Deep Networks
2018/10/01 by Mustaniemi, Janne, Kannala, Juho, Särkkä, Simo +2 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- 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
- Sigma-Point Filtering and Smoothing Based Parameter Estimation in Nonlinear Dynamic Systems
2015/04/23 by Juho Kokkala, Arno Solin, Kokkala, Juho +3 · 1 citation
Computer Science · Environmental Science · #Climate variability and models #Computation (stat.CO) #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Methodology (stat.ME) #Optimization and Control (math.OC) #Target Tracking and Data Fusion in Sensor Networks
- Probability Measures for Numerical Solutions of Differential Equations
2015/06/15 by Conrad, Patrick R., Girolami, Mark, Särkkä, Simo +2 · 1 citation
#FOS: Computer and information sciences #Methodology (stat.ME)
- Nesting Particle Filters for Experimental Design in Dynamical Systems
2024/02/12 by Sahel Iqbal, Iqbal, Sahel, Adrien Corenflos +5 · 3 citations
Biochemistry, Genetics and Molecular Biology · #Diffusion and Search Dynamics
- Fourier--Hermite Dynamic Programming for Optimal Control
2022/02/27 by Sakira Hassan, Hassan, Sakira, Simo Särkkä +1 · 2 citations
Computer Science · Engineering · #Adaptive Dynamic Programming Control #Advanced Control Systems Optimization #Extremum Seeking Control Systems #FOS: Electrical engineering #FOS: Mathematics #Optimization and Control (math.OC) #Systems and Control (eess.SY) #electronic engineering #information engineering
- Conditioning diffusion models by explicit forward-backward bridging
2024/05/22 by Adrien Corenflos, Zheng Zhao, Corenflos, Adrien +7 · 3 citations
Computer Science · Physics and Astronomy · #Advanced Mathematical Modeling in Engineering #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Model Reduction and Neural Networks
- Gaussian Process Latent Force Models for Learning and Stochastic Control of Physical Systems
2017/09/15 by Särkkä, Simo, Álvarez, Mauricio A., Lawrence, Neil D. · 1 citation
#Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (stat.ML) #Methodology (stat.ME) #Systems and Control (eess.SY) #electronic engineering #information engineering
- The Use of Gaussian Processes in System Identification
2019/07/13 by Simo Särkkä, Särkkä, Simo · 1 citation
Computer Science · Engineering · #Control Systems and Identification #FOS: Computer and information sciences #FOS: Electrical engineering #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Systems and Control (eess.SY) #electronic engineering #information engineering
- Fully symmetric kernel quadrature
2017/03/18 by Toni Karvonen, Simo Särkkä, Karvonen, Toni +1 · 1 citation
Computer Science · Mathematics · Physics and Astronomy · #Computation (stat.CO) #Electromagnetic Scattering and Analysis #FOS: Computer and information sciences #FOS: Mathematics #Mathematical Approximation and Integration #Matrix Theory and Algorithms #Numerical Analysis (math.NA)
- 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
- Multidimensional Projection Filters via Automatic Differentiation and Sparse-Grid Integration
2021/12/16 by Emzir, Muhammad Fuady, Zhao, Zheng, Särkkä, Simo · 1 citation
#Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Optimization and Control (math.OC)
- Uncertainty-aware deep learning methods for robust diabetic retinopathy classification
2022/01/22 by Joel Jaskari, Jaakko Sahlsten, Jaskari, Joel +13 · 1 citation
Medicine · Computer Science · Health Professions · #Retinal Imaging and Analysis #Machine Learning in Healthcare #Artificial Intelligence in Healthcare
- De-Sequentialized Monte Carlo: a parallel-in-time particle smoother
2022/02/04 by Corenflos, Adrien, Chopin, Nicolas, Särkkä, Simo · 1 citation
#Computation (stat.CO) #Distributed #FOS: Computer and information sciences #Machine Learning (stat.ML) #Parallel #and Cluster Computing (cs.DC)
- Online Pole Segmentation on Range Images for Long-term LiDAR Localization in Urban Environments
2022/08/15 by Hao Dong, Dong, Hao, Xieyuanli Chen +5 · 1 citation
Environmental Science · Engineering · Earth and Planetary Sciences · #Remote Sensing and LiDAR Applications #Robotics and Sensor-Based Localization #3D Surveying and Cultural Heritage
- Symmetry Exploits for Bayesian Cubature Methods
2018/09/26 by Karvonen, Toni, Särkkä, Simo, Oates, Chris. J. · 1 citation
#Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Numerical Analysis (math.NA)
- Parallel Iterated Extended and Sigma-point Kalman Smoothers
2021/01/31 by Yaghoobi, Fatemeh, Corenflos, Adrien, Hassan, Sakira +1 · 1 citation
#Computation (stat.CO) #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)
- Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees
2021/11/02 by Wilkinson, William J., Särkkä, Simo, Solin, Arno · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- 1D Convolutional Neural Network Models for Sleep Arousal Detection
2019/03/01 by Morteza Zabihi, Zabihi, Morteza, Ali Bahrami Rad +7 · 1 citation
Psychology · Engineering · Neuroscience · #Sleep and Work-Related Fatigue #Non-Invasive Vital Sign Monitoring #EEG and Brain-Computer Interfaces
- Quantum-Assisted Hilbert-Space Gaussian Process Regression
2024/02/01 by Farooq, Ahmad, Galvis-Florez, Cristian A., Särkkä, Simo · 2 citations
#Computation (stat.CO) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Quantum Physics (quant-ph)
- Temporal Parallelisation of Dynamic Programming and Linear Quadratic Control
2021/04/07 by Simo Särkkä, Särkkä, Simo, Ángel F. García‐Fernández +1 · 2 citations
Computer Science · Engineering · #Advanced Control Systems Optimization #Constraint Satisfaction and Optimization #Distributed #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Optimization and Control (math.OC) #Parallel #Reinforcement Learning in Robotics #Systems and Control (eess.SY) #and Cluster Computing (cs.DC) #electronic engineering #information engineering
- Sequential Monte Carlo for Policy Optimization in Continuous POMDPs
2025/05/22 by Hany Abdulsamad, Sahel Iqbal, Abdulsamad, Hany +3 · 2 citations
Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning
- Posterior linearisation smoothing with robust iterations
2021/12/07 by Jakob Lindqvist, Lindqvist, Jakob, Simo Särkkä +7 · 1 citation
Computer Science · Decision Sciences · #Target Tracking and Data Fusion in Sensor Networks #Bayesian Modeling and Causal Inference #Forecasting Techniques and Applications