test

A minimal model of cognition based on oscillatory and current-based reinforcement processes

Gyllingberg, Linnea; Tian, Yu; Sumpter, David J. T.

Ingår i Journal of the Royal Society Interface, 2025

Artikel i tidskrift

• DOI för A minimal model of cognition based on oscillatory and current-based reinforcement processes
• Ladda ner fulltext (pdf) av A minimal model of cognition based on oscillatory and current-based reinforcement processes

Artificial intelligence-enhanced electrocardiography for the identification of a sex-related cardiovascular risk continuum: a retrospective cohort study

Sau, Arunashis; Sieliwonczyk, Ewa; Patlatzoglou, Konstantinos; Pastika, Libor et al.

Ingår i The Lancet Digital Health, 2025

Artikel i tidskrift

• DOI för Artificial intelligence-enhanced electrocardiography for the identification of a sex-related cardiovascular risk continuum: a retrospective cohort study
• Ladda ner fulltext (pdf) av Artificial intelligence-enhanced electrocardiography for the identification of a sex-related cardiovascular risk continuum: a retrospective cohort study

Automated segmentation of synchrotron-scanned fossils

During, Melanie A. D.; Matelsky, Jordan K.; Gustafsson, Fredrik K.; Voeten, Dennis F. A. E. et al.

Ingår i Fossil Record, s. 103-114, 2025

Artikel i tidskrift

• DOI för Automated segmentation of synchrotron-scanned fossils
• Ladda ner fulltext (pdf) av Automated segmentation of synchrotron-scanned fossils

Deep networks for system identification: A survey

Pillonetto, Gianluigi; Aravkin, Aleksandr; Gedon, Daniel; Ljung, Lennart et al.

Ingår i Automatica, 2025

Artikel i tidskrift

• DOI för Deep networks for system identification: A survey
• Ladda ner fulltext (pdf) av Deep networks for system identification: A survey

Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction

Lysenkova, Mariya; Zachariah, Dave; Krali, Olga; Nordlund, Jessica

Ingår i JCO Clinical Cancer Informatics, 2025

Artikel i tidskrift

• DOI för Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction
• Ladda ner fulltext (pdf) av Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction

Explainable AI associates ECG aging effects with increased cardiovascular risk in a longitudinal population study

Hempel, Philip; Horta Ribeiro, Antônio; Vollmer, Marcus; Bender, Theresa et al.

Ingår i npj Digital Medicine, 2025

Artikel i tidskrift

• DOI för Explainable AI associates ECG aging effects with increased cardiovascular risk in a longitudinal population study
• Ladda ner fulltext (pdf) av Explainable AI associates ECG aging effects with increased cardiovascular risk in a longitudinal population study

Exploring the feasibility of olfactory brain-computer interfaces

Rajabi, Nona; Zanettin, Irene; Ribeiro, Antônio H.; Vasco, Miguel et al.

Ingår i Scientific Reports, 2025

Artikel i tidskrift

• DOI för Exploring the feasibility of olfactory brain-computer interfaces
• Ladda ner fulltext (pdf) av Exploring the feasibility of olfactory brain-computer interfaces

Personalized Privacy Amplification via Importance Sampling

Fay, Dominik; Mair, Sebastian; Sjölund, Jens

Ingår i Transactions on Machine Learning Research, 2025

Artikel i tidskrift

• Ladda ner fulltext (pdf) av Personalized Privacy Amplification via Importance Sampling

Simulation-Aided Policy Tuning for Black-Box Robot Learning

He, Shiming; von Rohr, Alexander; Baumann, Dominik; Xiang, Ji et al.

Ingår i IEEE Transactions on robotics, s. 2533-2548, 2025

Artikel i tidskrift

• DOI för Simulation-Aided Policy Tuning for Black-Box Robot Learning
• Ladda ner fulltext (pdf) av Simulation-Aided Policy Tuning for Black-Box Robot Learning

Archetypal Analysis++: Rethinking the Initialization Strategy

Mair, Sebastian; Sjölund, Jens

Ingår i Transactions on Machine Learning Research, 2024

Artikel i tidskrift

• Ladda ner fulltext (pdf) av Archetypal Analysis++: Rethinking the Initialization Strategy

Efficient radiation treatment planning based on voxel importance

Mair, Sebastian; Fu, Anqi; Sjölund, Jens

Ingår i Physics in Medicine and Biology, 2024

Artikel i tidskrift

• DOI för Efficient radiation treatment planning based on voxel importance
• Ladda ner fulltext (pdf) av Efficient radiation treatment planning based on voxel importance

Evaluating regression and probabilistic methods for ECG-based electrolyte prediction

von Bachmann, Philipp; Gedon, Daniel; Gustafsson, Fredrik K.; Ribeiro, Antônio H. et al.

Ingår i Scientific Reports, 2024

Artikel i tidskrift

• DOI för Evaluating regression and probabilistic methods for ECG-based electrolyte prediction
• Ladda ner fulltext (pdf) av Evaluating regression and probabilistic methods for ECG-based electrolyte prediction

Exploring Metal Electroplating for Energy Storage by Quartz Crystal Microbalance: A Review

Vanoppen, Viktor; Johannsmann, Diethelm; Hou, Xu; Sjölund, Jens et al.

Ingår i ADVANCED SENSOR RESEARCH, 2024

Artikel, forskningsöversikt

• DOI för Exploring Metal Electroplating for Energy Storage by Quartz Crystal Microbalance: A Review
• Ladda ner fulltext (pdf) av Exploring Metal Electroplating for Energy Storage by Quartz Crystal Microbalance: A Review

Genetic and phenotypic architecture of human myocardial trabeculation

McGurk, Kathryn A.; Qiao, Mengyun; Zheng, Sean L.; Sau, Arunashis et al.

Ingår i Nature Cardiovascular Research, s. 1503-1515, 2024

Artikel i tidskrift

• DOI för Genetic and phenotypic architecture of human myocardial trabeculation
• Ladda ner fulltext (pdf) av Genetic and phenotypic architecture of human myocardial trabeculation

Machine Learning Based Prediction of Imminent ICP Insults During Neurocritical Care of Traumatic Brain Injury

Galos, Peter; Hult, Ludvig; Zachariah, Dave; Lewén, Anders et al.

Ingår i Neurocritical Care, 2024

Artikel i tidskrift

• DOI för Machine Learning Based Prediction of Imminent ICP Insults During Neurocritical Care of Traumatic Brain Injury
• Ladda ner fulltext (pdf) av Machine Learning Based Prediction of Imminent ICP Insults During Neurocritical Care of Traumatic Brain Injury

Neural incomplete factorization: learning preconditioners for the conjugate gradient method

Häusner, Paul; Öktem, Ozan; Sjölund, Jens

Ingår i Transactions on Machine Learning Research, 2024

Artikel i tidskrift

• Ladda ner fulltext (pdf) av Neural incomplete factorization: learning preconditioners for the conjugate gradient method

Probabilistic Matching of Real and Generated Data Statistics in Generative Adversarial Networks

Pilar, Philipp; Wahlström, Niklas

Ingår i Transactions on Machine Learning Research, 2024

Artikel i tidskrift

Properties of the 'friend of a friend' model for network generation

Lo, Tiffany Y. Y.; Levens, Watson; Sumpter, David J. T.

Ingår i Journal of Complex Networks, 2024

Artikel i tidskrift

• DOI för Properties of the 'friend of a friend' model for network generation
• Ladda ner fulltext (pdf) av Properties of the 'friend of a friend' model for network generation

Rao-Blackwellized Particle Filter Using Noise Adaptive Kalman Filter for Fully Mixing State-Space Models

Badar, Tabish; Särkkä, Simo; Zhao, Zheng; Visala, Arto

Ingår i IEEE Transactions on Aerospace and Electronic Systems, s. 6972-6982, 2024

Artikel i tidskrift

• DOI för Rao-Blackwellized Particle Filter Using Noise Adaptive Kalman Filter for Fully Mixing State-Space Models
• Ladda ner fulltext (pdf) av Rao-Blackwellized Particle Filter Using Noise Adaptive Kalman Filter for Fully Mixing State-Space Models

Sharing Four Biscuits Between Three People: An Illustrative Example of How Mathematics is Intertwined with Human Values

Sumpter, Lovisa; Sumpter, David

Ingår i Journal of Humanistic Mathematics, s. 74-93, 2024

Artikel i tidskrift

• DOI för Sharing Four Biscuits Between Three People: An Illustrative Example of How Mathematics is Intertwined with Human Values
• Ladda ner fulltext (pdf) av Sharing Four Biscuits Between Three People: An Illustrative Example of How Mathematics is Intertwined with Human Values

Uncertainty Estimation with Recursive Feature Machines

Gedon, Daniel; Abedsoltan, Amirhesam; Schön, Thomas B.; Belkin, Mikhail

Ingår i Proceedings of Machine Learning Research, s. 1408-1437, 2024

Artikel i tidskrift

Adaptive Hyperparameter Selection for Differentially Private Gradient Descent

Fay, Dominik; Magnússon, Sindri; Sjölund, Jens; Johansson, Mikael

Ingår i Transactions on Machine Learning Research, 2023

Artikel i tidskrift

• Ladda ner fulltext (pdf) av Adaptive Hyperparameter Selection for Differentially Private Gradient Descent

Automated electrolyte formulation and coin cell assembly for high-throughput lithium-ion battery research

Yik, Jackie T.; Zhang, Leiting; Sjölund, Jens; Hou, Xu et al.

Ingår i Digital Discovery, s. 799-808, 2023

Artikel i tidskrift

• DOI för Automated electrolyte formulation and coin cell assembly for high-throughput lithium-ion battery research
• Ladda ner fulltext (pdf) av Automated electrolyte formulation and coin cell assembly for high-throughput lithium-ion battery research

Diagnostic Tool for Out-of-Sample Model Evaluation

Hult, Ludvig; Zachariah, Dave; Stoica, Peter

Ingår i Transactions on Machine Learning Research, 2023

Artikel i tidskrift

• Ladda ner fulltext (pdf) av Diagnostic Tool for Out-of-Sample Model Evaluation

Ethics as part of mathematical reasoning in sharing

Sumpter, Lovisa; Sumpter, David J. T.

Ingår i Prometeica, s. 649-657, 2023

Artikel i tidskrift

• DOI för Ethics as part of mathematical reasoning in sharing
• Ladda ner fulltext (pdf) av Ethics as part of mathematical reasoning in sharing

Gaussian inference for data-driven state-feedback design of nonlinear systems

Martin, Tim; Schön, Thomas B.; Allgöwer, Frank

Ingår i IFAC-PapersOnLine, s. 4796-4803, 2023

Artikel i tidskrift

• DOI för Gaussian inference for data-driven state-feedback design of nonlinear systems
• Ladda ner fulltext (pdf) av Gaussian inference for data-driven state-feedback design of nonlinear systems

GOSAFEOPT: Scalable safe exploration for global optimization of dynamical systems

Sukhija, Bhavya; Turchetta, Matteo; Lindner, David; Krause, Andreas et al.

Ingår i Artificial Intelligence, 2023

Artikel i tidskrift

• DOI för GOSAFEOPT: Scalable safe exploration for global optimization of dynamical systems
• Ladda ner fulltext (pdf) av GOSAFEOPT: Scalable safe exploration for global optimization of dynamical systems

Guarantees for data-driven control of nonlinear systems using semidefinite programming: A survey

Martin, Tim; Schön, Thomas B.; Allgöwer, Frank

Ingår i Annual Reviews in Control, 2023

Artikel, forskningsöversikt

• DOI för Guarantees for data-driven control of nonlinear systems using semidefinite programming: A survey

Heart age gap estimated by explainable advanced electrocardiography is associated with cardiovascular risk factors and survival

Lindow, Thomas; Maanja, Maren; Schelbert, Erik B.; Horta Ribeiro, Antônio et al.

Ingår i The European Heart Journal - Digital Health, s. 384-392, 2023

Artikel i tidskrift

• DOI för Heart age gap estimated by explainable advanced electrocardiography is associated with cardiovascular risk factors and survival
• Ladda ner fulltext (pdf) av Heart age gap estimated by explainable advanced electrocardiography is associated with cardiovascular risk factors and survival

How Reliable is Your Regression Model’s Uncertainty Under Real-World Distribution Shifts?

Gustafsson, Fredrik K.; Danelljan, Martin; Schön, Thomas B.

Ingår i Transactions on Machine Learning Research, 2023

Artikel i tidskrift

Invertible Kernel PCA With Random Fourier Features

Gedon, Daniel; Ribeiro, Antônio H.; Wahlström, Niklas; Schön, Thomas B.

Ingår i IEEE Signal Processing Letters, s. 563-567, 2023

Artikel i tidskrift

• DOI för Invertible Kernel PCA With Random Fourier Features

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

Hering, Alessa; Hansen, Lasse; Mok, Tony C. W.; Chung, Albert C. S. et al.

Ingår i IEEE Transactions on Medical Imaging, s. 697-712, 2023

Artikel i tidskrift

• DOI för Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
• Ladda ner fulltext (pdf) av Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

Multidimensional projection filters via automatic differentiation and sparse-grid integration

Emzir, Muhammad Fuady; Zhao, Zheng; Särkkä, Simo

Ingår i Signal Processing, 2023

Artikel i tidskrift

• DOI för Multidimensional projection filters via automatic differentiation and sparse-grid integration

Neural motion planning in dynamic environments

Wullt, Bernhard; Mattsson, Per; Schön, Thomas B.; Norrlöf, Mikael

Ingår i IFAC-PapersOnLine, s. 10126-10131, 2023

Artikel i tidskrift

• DOI för Neural motion planning in dynamic environments
• Ladda ner fulltext (pdf) av Neural motion planning in dynamic environments

Off-Policy Evaluation with Out-of-Sample Guarantees

Ek, Sofia; Zachariah, Dave; Johansson, Fredrik D.; Stoica, Peter

Ingår i Transactions on Machine Learning Research, 2023

Artikel i tidskrift

On the trade-off between event-based and periodic state estimation under bandwidth constraints

Baumann, Dominik; Schön, Thomas B.

Ingår i IFAC-PapersOnLine, s. 5275-5280, 2023

Artikel i tidskrift

• DOI för On the trade-off between event-based and periodic state estimation under bandwidth constraints
• Ladda ner fulltext (pdf) av On the trade-off between event-based and periodic state estimation under bandwidth constraints

Online Learning for Prediction via Covariance Fitting: Computation, Performance and Robustness

Osama, Muhammad; Zachariah, Dave; Stoica, Peter; Schön, Thomas B.

Ingår i Transactions on Machine Learning Research, 2023

Artikel i tidskrift

Probabilistic Estimation of Instantaneous Frequencies of Chirp Signals

Zhao, Zheng; Särkkä, Simo; Sjölund, Jens; Schön, Thomas B.

Ingår i IEEE Transactions on Signal Processing, s. 461-476, 2023

Artikel i tidskrift

• DOI för Probabilistic Estimation of Instantaneous Frequencies of Chirp Signals

Smoothed State Estimation via Efficient Solution of Linear Equations

Geng, Li-Hui; Wills, Adrian George; Ninness, Brett; Schön, Thomas Bo

Ingår i IEEE Transactions on Automatic Control, s. 5877-5889, 2023

Artikel i tidskrift

• DOI för Smoothed State Estimation via Efficient Solution of Linear Equations

Variational Elliptical Processes

Bånkestad, Maria; Sjölund, Jens; Taghia, Jalil; Schön, Thomas B.

Ingår i Transactions on Machine Learning Research, 2023

Artikel i tidskrift

• Ladda ner fulltext (pdf) av Variational Elliptical Processes

Automated multilabel diagnosis on electrocardiographic images and signals

Sangha, Veer; Mortazavi, Bobak J.; Haimovich, Adrian D.; Horta Ribeiro, Antônio et al.

Ingår i Nature Communications, 2022

Artikel i tidskrift

• DOI för Automated multilabel diagnosis on electrocardiographic images and signals
• Ladda ner fulltext (pdf) av Automated multilabel diagnosis on electrocardiographic images and signals

Data to Controller for Nonlinear Systems: An Approximate Solution

Hendriks, Johannes N.; Holdsworth, James R. Z.; Wills, Adrian G.; Schön, Thomas B. et al.

Ingår i IEEE Control Systems Letters, s. 1196-1201, 2022

Artikel i tidskrift

• DOI för Data to Controller for Nonlinear Systems: An Approximate Solution

Development and validation of deep learning ECG-based prediction of myocardial infarction in emergency department patients

Gustafsson, Stefan; Gedon, Daniel; Lampa, Erik; Horta Ribeiro, Antônio et al.

Ingår i Scientific Reports, 2022

Artikel i tidskrift

• DOI för Development and validation of deep learning ECG-based prediction of myocardial infarction in emergency department patients
• Ladda ner fulltext (pdf) av Development and validation of deep learning ECG-based prediction of myocardial infarction in emergency department patients

Direct Transmittance Estimation in Heterogeneous Participating Media Using Approximated Taylor Expansions

Jönsson, Daniel; Kronander, Joel; Unger, Jonas; Schön, Thomas B. et al.

Ingår i IEEE Transactions on Visualization and Computer Graphics, s. 2602-2614, 2022

Artikel i tidskrift

• DOI för Direct Transmittance Estimation in Heterogeneous Participating Media Using Approximated Taylor Expansions

Efficient Learning of the Parameters of Non-Linear Models Using Differentiable Resampling in Particle Filters

Rosato, Conor; Devlin, Lee; Beraud, Vincent; Horridge, Paul et al.

Ingår i IEEE Transactions on Signal Processing, s. 3676-3692, 2022

Artikel i tidskrift

• DOI för Efficient Learning of the Parameters of Non-Linear Models Using Differentiable Resampling in Particle Filters

Identifying Causal Structure in Dynamical Systems

Baumann, Dominik; Solowjow, Friedrich; Johansson, Karl Henrik; Trimpe, Sebastian

Ingår i Transactions on Machine Learning Research, 2022

Artikel i tidskrift

Incorporating Sum Constraints into Multitask Gaussian Processes

Pilar, Philipp

Ingår i Transactions on Machine Learning Research, 2022

Artikel i tidskrift

Memory efficient constrained optimization of scanning-beam lithography

Jidling, Carl; Fleming, Andrew J.; Wills, Adrian G.; Schön, Thomas B.

Ingår i Optics Express, s. 20564-20579, 2022

Artikel i tidskrift

• DOI för Memory efficient constrained optimization of scanning-beam lithography
• Ladda ner fulltext (pdf) av Memory efficient constrained optimization of scanning-beam lithography

Nonlinear System Identification: Learning While Respecting Physical Models Using a Sequential Monte Carlo Method

Wigren, Anna; Wågberg, Johan; Lindsten, Fredrik; Wills, Adrian G. et al.

Ingår i IEEE CONTROL SYSTEMS MAGAZINE, s. 75-102, 2022

Artikel i tidskrift

• DOI för Nonlinear System Identification: Learning While Respecting Physical Models Using a Sequential Monte Carlo Method

Predicting Political Violence Using a State-Space Model

Lindholm, Andreas; Hendriks, Johannes; Wills, Adrian; Schön, Thomas B.

Ingår i International Interactions, s. 759-777, 2022

Artikel i tidskrift

• DOI för Predicting Political Violence Using a State-Space Model

Cross-term-compensated gradient waveform design for tensor-valued diffusion MRI

Szczepankiewicz, Filip; Sjölund, Jens

Ingår i Journal of magnetic resonance, 2021

Artikel i tidskrift

• DOI för Cross-term-compensated gradient waveform design for tensor-valued diffusion MRI
• Ladda ner fulltext (pdf) av Cross-term-compensated gradient waveform design for tensor-valued diffusion MRI

Deep neural network-estimated electrocardiographic age as a mortality predictor

Lima, Emilly M.; Horta Ribeiro, Antônio; Paixao, Gabriela M. M.; Horta Ribeiro, Manoel et al.

Ingår i Nature Communications, 2021

Artikel i tidskrift

• DOI för Deep neural network-estimated electrocardiographic age as a mortality predictor
• Ladda ner fulltext (pdf) av Deep neural network-estimated electrocardiographic age as a mortality predictor

Electrocardiographic Predictors of Mortality: Data from a Primary Care Tele-Electrocardiography Cohort of Brazilian Patients

Paixão, Gabriela M. M.; Lima, Emilly M.; Gomes, Paulo R.; Oliveira, Derick M. et al.

Ingår i Hearts, s. 449-458, 2021

Artikel i tidskrift

• DOI för Electrocardiographic Predictors of Mortality: Data from a Primary Care Tele-Electrocardiography Cohort of Brazilian Patients

Gaussian Variational State Estimation for Nonlinear State-Space Models

Courts, Jarrad; Wills, Adrian; Schön, Thomas B.

Ingår i IEEE Transactions on Signal Processing, s. 5979-5993, 2021

Artikel i tidskrift

• DOI för Gaussian Variational State Estimation for Nonlinear State-Space Models

Motion-compensated gradient waveforms for tensor-valued diffusion encoding by constrained numerical optimization

Szczepankiewicz, Filip; Sjölund, Jens; Dall'Armellina, Erica; Plein, Sven et al.

Ingår i Magnetic Resonance in Medicine, s. 2117-2126, 2021

Artikel i tidskrift

• DOI för Motion-compensated gradient waveforms for tensor-valued diffusion encoding by constrained numerical optimization
• Ladda ner fulltext (pdf) av Motion-compensated gradient waveforms for tensor-valued diffusion encoding by constrained numerical optimization

Quantifying the Uncertainty of the Relative Geometry in Inertial Sensors Arrays

Carlsson, Håkan; Skog, Isaac; Schön, Thomas B.; Jaldén, Joakim

Ingår i IEEE Sensors Journal, s. 19362-19373, 2021

Artikel i tidskrift

• DOI för Quantifying the Uncertainty of the Relative Geometry in Inertial Sensors Arrays
• Ladda ner fulltext (pdf) av Quantifying the Uncertainty of the Relative Geometry in Inertial Sensors Arrays

Scalable Belief Updating for Urban Air Quality Modeling and Prediction

Liu, Xiuming; Ngai, Edith; Zachariah, Dave

Ingår i ACM/IMS Transactions on Data Science, s. 1-19, 2021

Artikel i tidskrift

• DOI för Scalable Belief Updating for Urban Air Quality Modeling and Prediction
• Ladda ner fulltext (pdf) av Scalable Belief Updating for Urban Air Quality Modeling and Prediction

Stochastic quasi-Newton with line-search regularisation

Wills, Adrian G.; Schön, Thomas B.

Ingår i Automatica, 2021

Artikel i tidskrift

• DOI för Stochastic quasi-Newton with line-search regularisation

The Significance of Script Proportions in the Medieval Swedish Script

Mårtensson, Lasse; Vats, Ekta; Hast, Anders

Ingår i Arkiv för nordisk filologi, 2021

Artikel i tidskrift

Universal probabilistic programming offers a powerful approach to statistical phylogenetics

Ronquist, Fredrik; Kudlicka, Jan; Senderov, Viktor; Borgström, Johannes et al.

Ingår i Communications Biology, 2021

Artikel i tidskrift

• DOI för Universal probabilistic programming offers a powerful approach to statistical phylogenetics
• Ladda ner fulltext (pdf) av Universal probabilistic programming offers a powerful approach to statistical phylogenetics

Automatic diagnosis of the 12-lead ECG using a deep neural network

Ribeiro, Antônio H.; Ribeiro, Manoel Horta; Paixao, Gabriela M. M.; Oliveira, Derick M. et al.

Ingår i Nature Communications, 2020

Artikel i tidskrift

• DOI för Automatic diagnosis of the 12-lead ECG using a deep neural network
• Ladda ner fulltext (pdf) av Automatic diagnosis of the 12-lead ECG using a deep neural network

Learning Robust LQ-Controllers Using Application Oriented Exploration

Ferizbegovic, Mina; Umenberger, Jack; Hjalmarsson, Hakan; Schön, Thomas B.

Ingår i IEEE Control Systems Letters, s. 19-24, 2020

Artikel i tidskrift

• DOI för Learning Robust LQ-Controllers Using Application Oriented Exploration

Nonlinear Input Design as Optimal Control of a Hamiltonian System

Umenberger, Jack; Schön, Thomas B.

Ingår i IEEE Control Systems Letters, s. 85-90, 2020

Artikel i tidskrift

• DOI för Nonlinear Input Design as Optimal Control of a Hamiltonian System

On the smoothness of nonlinear system identification

Horta Ribeiro, Antônio; Tiels, Koen; Umenberger, Jack; Schön, Thomas B. et al.

Ingår i Automatica, 2020

Artikel i tidskrift

• DOI för On the smoothness of nonlinear system identification

Smoothing With Couplings of Conditional Particle Filters

Jacob, Pierre E.; Lindsten, Fredrik; Schön, Thomas B.

Ingår i Journal of the American Statistical Association, s. 721-729, 2020

Artikel i tidskrift

• DOI för Smoothing With Couplings of Conditional Particle Filters

Identification of a Duffing oscillator using particle Gibbs with ancestor sampling

Rogers, T J; Schön, Thomas B.; Lindholm, Andreas; Worden, K et al.

Ingår i Journal of Physics, Conference Series, 2019

Artikel i tidskrift

• DOI för Identification of a Duffing oscillator using particle Gibbs with ancestor sampling
• Ladda ner fulltext (pdf) av Identification of a Duffing oscillator using particle Gibbs with ancestor sampling

System identification through online sparse Gaussian process regression with input noise

Bijl, Hildo; Schön, Thomas B.; van Wingerden, Jan-Willem; Verhaegen, Michel

Ingår i IFAC Journal of Systems and Control, s. 1-11, 2017

Artikel i tidskrift

• DOI för System identification through online sparse Gaussian process regression with input noise

Learning dynamical systems with particle stochastic approximation EM

Svensson, Andreas; Lindsten, Fredrik

Artikel i tidskrift