Thomas B. Schön

According to our database, Thomas B. Schön authored at least 189 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Safe Reinforcement Learning in Uncertain Contexts.

Dominik Baumann, Thomas B. Schön

IEEE Trans. Robotics, 2024

On the equivalence of direct and indirect data-driven predictive control approaches.

Per Mattsson, Fabio Bonassi, Valentina Breschi, Thomas B. Schön

CoRR, 2024

Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning.

Ruoqi Zhang, Ziwei Luo, Jens Sjölund, Thomas B. Schön, Per Mattsson

CoRR, 2024

2023

Smoothed State Estimation via Efficient Solution of Linear Equations.

Li-Hui Geng, Adrian G. Wills, Brett Ninness, Thomas B. Schön

IEEE Trans. Autom. Control., October, 2023

Sequential Monte Carlo: A Unified Review.

Adrian G. Wills, Thomas B. Schön

Annu. Rev. Control. Robotics Auton. Syst., May, 2023

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

Tim Martin, Thomas B. Schön, Frank Allgöwer

Annu. Rev. Control., January, 2023

Probabilistic Estimation of Instantaneous Frequencies of Chirp Signals.

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

IEEE Trans. Signal Process., 2023

Overparameterized Linear Regression Under Adversarial Attacks.

Antônio H. Ribeiro, Thomas B. Schön

IEEE Trans. Signal Process., 2023

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

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

Trans. Mach. Learn. Res., 2023

Invertible Kernel PCA With Random Fourier Features.

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

IEEE Signal Process. Lett., 2023

Structured state-space models are deep Wiener models.

Fabio Bonassi, Carl R. Andersson, Per Mattsson, Thomas B. Schön

CoRR, 2023

Variational Elliptical Processes.

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

CoRR, 2023

On Feynman-Kac training of partial Bayesian neural networks.

Zheng Zhao, Sebastian Mair, Thomas B. Schön, Jens Sjölund

CoRR, 2023

Non-ergodicity in reinforcement learning: robustness via ergodicity transformations.

Dominik Baumann, Erfaun Noorani, James Price, Ole Peters, Colm Connaughton, Thomas B. Schön

CoRR, 2023

Controlling Vision-Language Models for Universal Image Restoration.

Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön

CoRR, 2023

End-to-end Risk Prediction of Atrial Fibrillation from the 12-Lead ECG by Deep Neural Networks.

Theogene Habineza, Antônio H. Ribeiro, Daniel Gedon, Joachim A. Behar, Antônio Luiz Pinho Ribeiro, Thomas B. Schön

CoRR, 2023

Rao-Blackwellized Particle Smoothing for Simultaneous Localization and Mapping.

Manon Kok, Arno Solin, Thomas B. Schön

CoRR, 2023

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

Dominik Baumann, Thomas B. Schön

CoRR, 2023

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

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

CoRR, 2023

Deep networks for system identification: a Survey.

Gianluigi Pillonetto, Aleksandr Y. Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön

CoRR, 2023

Variational system identification for nonlinear state-space models.

Jarrad Courts, Adrian G. Wills, Thomas B. Schön, Brett Ninness

Autom., 2023

Regularization properties of adversarially-trained linear regression.

Antônio H. Ribeiro, Dave Zachariah, Francis Bach, Thomas B. Schön

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Image Restoration with Mean-Reverting Stochastic Differential Equations.

Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön

Proceedings of the International Conference on Machine Learning, 2023

NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results.

Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Ming Cheng, Haoyu Ma, Qiufang Ma, Xiaopeng Sun, Shijie Zhao, Xuhan Sheng, Yukang Ding, Ming Sun, Xing Wen, Dafeng Zhang, Jia Li, Fan Wang, Zheng Xie, Zongyao He, Zidian Qiu, Zilin Pan, Zhihao Zhan, Xingyuan Xian, Zhi Jin, Yuanbo Zhou, Wei Deng, Ruofeng Nie, Jiajun Zhang, Qinquan Gao, Tong Tong, Kexin Zhang, Junpei Zhang, Rui Peng, Yanbiao Ma, Licheng Jiao, Haoran Bai, Lingshun Kong, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Pu Cao, Tianrui Huang, Lu Yang, Qing Song, Bingxin Chen, Chunhua He, Meiyun Chen, Zijie Guo, Shaojuan Luo, Chengzhi Cao, Kunyu Wang, Fanrui Zhang, Qiang Zhang, Nancy Mehta, Subrahmanyam Murala, Akshay Dudhane, Yujin Wang, Lingen Li, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Junyang Chen, Hao Li, Yukai Shi, Zhijing Yang, Wenbin Zou, Yunchen Zhang, Mingchao Jiang, Zhongxin Yu, Ming Tan, Hongxia Gao, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Jingxiang Chen, Bo Yang, XiSheryl Zhang, Chenghua Li, Weijun Yuan, Zhan Li, Ruting Deng, Jintao Zeng, Pulkit Mahajan, Sahaj Mistry, Shreyas Chatterjee, Vinit Jakhetiya, Badri N. Subudhi, Sunil Prasad Jaiswal, Zhao Zhang, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Bo Wang, Gen Li, Aijin Li, Lei Sun, Ke Chen, Congling Tang, Yunzhe Li, Jun Chen, Yuan-Chun Chiang, Yi-Chung Chen, Zhi-Kai Huang, Hao-Hsiang Yang, I-Hsiang Chen, Sy-Yen Kuo, Yiheng Wang, Gang Zhu, Xingyi Yang, Songhua Liu, Yongcheng Jing, Xingyu Hu, Jianwen Song, Changming Sun, Arcot Sowmya, Seung Ho Park, Xiaoyan Lei, Jingchao Wang, Chenbo Zhai, Yufei Zhang, Weifeng Cao, Wenlong Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NTIRE 2023 Image Shadow Removal Challenge Report.

Florin-Alexandru Vasluianu, Tim Seizinger, Radu Timofte, Shuhao Cui, Junshi Huang, Shuman Tian, Mingyuan Fan, Jiaqi Zhang, Li Zhu, Xiaoming Wei, Xiaolin Wei, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Xiaoyi Dong, Xi Sheryl Zhang, Chenghua Li, Cong Leng, Woon-Ha Yeo, Wang-Taek Oh, Yeoreum Lee, Han-Cheol Ryu, Jinting Luo, Chengzhi Jiang, Mingyan Han, Qi Wu, Wenjie Lin, Lei Yu, Xinpeng Li, Ting Jiang, Haoqiang Fan, Shuaicheng Liu, Shuning Xu, Binbin Song, Xiangyu Chen, Shile Zhang, Jiantao Zhou, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Bo Wang, Jiahuan Ren, Yan Luo, Yuki Kondo, Riku Miyata, Fuma Yasue, Taito Naruki, Norimichi Ukita, Hua-En Chang, Hao-Hsiang Yang, Yi-Chung Chen, Yuan-Chun Chiang, Zhi-Kai Huang, Wei-Ting Chen, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Li Xianwei, Huiyuan Fu, Chunlin Liu, Huadong Ma, Binglan Fu, Huiming He, Mengjia Wang, Wenxuan She, Yu Liu, Sabari Nathan, Priya Kansal, Zhongjian Zhang, Huabin Yang, Yan Wang, Yanru Zhang, Shruti S. Phutke, Ashutosh Kulkarni, Md Raqib Khan, Subrahmanyam Murala, Santosh Kumar Vipparthi, Heng Ye, Zixi Liu, Xingyi Yang, Songhua Liu, Yinwei Wu, Yongcheng Jing, Qianhao Yu, Naishan Zheng, Jie Huang, Yuhang Long, Mingde Yao, Feng Zhao, Bowen Zhao, Nan Ye, Ning Shen, Yanpeng Cao, Tong Xiong, Weiran Xia, Dingwen Li, Shuchen Xia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models.

Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report.

Marcos V. Conde, Manuel Kolmet, Tim Seizinger, Tom E. Bishop, Radu Timofte, Xiangyu Kong, Dafeng Zhang, Jinlong Wu, Fan Wang, Juewen Peng, Zhiyu Pan, Chengxin Liu, Xianrui Luo, Huiqiang Sun, Liao Shen, Zhiguo Cao, Ke Xian, Chaowei Liu, Zigeng Chen, Xingyi Yang, Songhua Liu, Yongcheng Jing, Michael Bi Mi, Xinchao Wang, Zhihao Yang, Wenyi Lian, Siyuan Lai, Haichuan Zhang, Trung Hoang, Amirsaeed Yazdani, Vishal Monga, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Yuxuan Zhao, Baoliang Chen, Yiqing Xu, JiXiangNiu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report.

Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Han Zhou, Wei Dong, Yangyi Liu, Jun Chen, Huan Liu, Liangyan Li, Zijun Wu, Yubo Dong, Yuyan Li, Tian Qiu, Yu He, Yonghong Lu, Yinwei Wu, Zhenxiang Jiang, Songhua Liu, Xingyi Yang, Yongcheng Jing, Bilel Benjdira, Anas M. Ali, Anis Koubaa, Hao-Hsiang Yang, I-Hsiang Chen, Wei-Ting Chen, Zhi-Kai Huang, Yi-Chung Chen, Chia-Hsuan Hsieh, Hua-En Chang, Yuan-Chun Chiang, Sy-Yen Kuo, Yu Guo, Yuan Gao, Ryan Wen Liu, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren, Trung Hoang, Haichuan Zhang, Amirsaeed Yazdani, Vishal Monga, Lehan Yang, Alex Jiahao Wu, Tiancheng Mai, Xiaofeng Cong, Xuemeng Yin, Xuefei Yin, Hazim Emad, Ahmed Abdallah, Yahya Yasser, Dalia Elshahat, Esraa Elbaz, Zhan Li, Wenqing Kuang, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Zhao Zhang, Yanyan Wei, Junhu Wang, Suiyi Zhao, Huan Zheng, Jin Guo, Yangfan Sun, Tianli Liu, Dejun Hao, Kui Jiang, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Direct Transmittance Estimation in Heterogeneous Participating Media Using Approximated Taylor Expansions.

Daniel Jönsson, Joel Kronander, Jonas Unger, Thomas B. Schön, Magnus Wrenninge

IEEE Trans. Vis. Comput. Graph., 2022

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

Conor Rosato, Lee Devlin, Vincent Béraud, Paul R. Horridge, Thomas B. Schön, Simon Maskell

IEEE Trans. Signal Process., 2022

Incorporating Sum Constraints into Multitask Gaussian Processes.

Philipp Pilar, Carl Jidling, Thomas B. Schön, Niklas Wahlström

Trans. Mach. Learn. Res., 2022

Data to Controller for Nonlinear Systems: An Approximate Solution.

Johannes N. Hendriks, James R. Z. Holdsworth, Adrian G. Wills, Thomas B. Schön, Brett Ninness

IEEE Control. Syst. Lett., 2022

ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods.

Philipp Von Bachmann, Daniel Gedon, Fredrik K. Gustafsson, Antônio H. Ribeiro, Erik Lampa, Stefan Gustafsson, Johan Sundström, Thomas B. Schön

CoRR, 2022

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

Tim Martin, Thomas B. Schön, Frank Allgöwer

CoRR, 2022

Surprises in adversarially-trained linear regression.

Antônio H. Ribeiro, Dave Zachariah, Thomas B. Schön

CoRR, 2022

Unsupervised dynamic modeling of medical image transformations.

Niklas Gunnarsson, Jens Sjölund, Peter Kimstrand, Thomas B. Schön

Proceedings of the 25th International Conference on Information Fusion, 2022

Learning Proposals for Practical Energy-Based Regression.

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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Gaussian Variational State Estimation for Nonlinear State-Space Models.

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

IEEE Trans. Signal Process., 2021

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

Conor Rosato, Paul R. Horridge, Thomas B. Schön, Simon Maskell

CoRR, 2021

Learning deep autoregressive models for hierarchical data.

Carl R. Andersson, Niklas Wahlström, Thomas B. Schön

CoRR, 2021

Latent linear dynamics in spatiotemporal medical data.

Niklas Gunnarsson, Jens Sjölund, Thomas B. Schön

CoRR, 2021

A Probabilistically Motivated Learning Rate Adaptation for Stochastic Optimization.

Filip de Roos, Carl Jidling, Adrian Wills, Thomas B. Schön, Philipp Hennig

CoRR, 2021

Stochastic quasi-Newton with line-search regularisation.

Adrian G. Wills, Thomas B. Schön

Autom., 2021

How Convolutional Neural Networks Deal with Aliasing.

Antônio H. Ribeiro, Thomas B. Schön

Proceedings of the IEEE International Conference on Acoustics, 2021

Accurate 3D Object Detection Using Energy-Based Models.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

First Steps Towards Self-Supervised Pretraining of the 12-Lead ECG.

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

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Willems' fundamental lemma based on second-order moments.

Mina Ferizbegovic, Håkan Hjalmarsson, Per Mattsson, Thomas B. Schön

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

The effect of interventions on COVID-19.

Kristian Soltesz, Fredrik Gustafsson, Toomas Timpka, Joakim Jaldén, Carl Jidling, Albin Heimerson, Thomas B. Schön, Armin Spreco, Joakim Ekberg, Örjan Dahlström, Fredrik Bagge Carlson, Anna Jöud, Bo Bernhardsson

Nat., 2020

Nonlinear Input Design as Optimal Control of a Hamiltonian System.

Jack Umenberger, Thomas B. Schön

IEEE Control. Syst. Lett., 2020

Learning Robust LQ-Controllers Using Application Oriented Exploration.

Mina Ferizbegovic, Jack Umenberger, Håkan Hjalmarsson, Thomas B. Schön

IEEE Control. Syst. Lett., 2020

Variational State and Parameter Estimation.

Jarrad Courts, Johannes N. Hendriks, Adrian Wills, Thomas B. Schön, Brett Ninness

CoRR, 2020

Beyond Occam's Razor in System Identification: Double-Descent when Modeling Dynamics.

Antônio H. Ribeiro, Johannes N. Hendriks, Adrian G. Wills, Thomas B. Schön

CoRR, 2020

Variational Nonlinear System Identification.

Jarrad Courts, Adrian Wills, Thomas B. Schön, Brett Ninness

CoRR, 2020

Deep Energy-Based NARX Models.

Johannes N. Hendriks, Fredrik K. Gustafsson, Antônio H. Ribeiro, Adrian G. Wills, Thomas B. Schön

CoRR, 2020

Deep State Space Models for Nonlinear System Identification.

Daniel Gedon, Niklas Wahlström, Thomas B. Schön, Lennart Ljung

CoRR, 2020

Registration by tracking for sequential 2D MRI.

Niklas Gunnarsson, Jens Sjölund, Thomas B. Schön

CoRR, 2020

The Elliptical Processes: a New Family of Flexible Stochastic Processes.

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

CoRR, 2020

Constructing a variational family for nonlinear state-space models.

Jarrad Courts, Christopher Renton, Thomas B. Schön, Adrian Wills

CoRR, 2020

Linearly Constrained Neural Networks.

Johannes N. Hendriks, Carl Jidling, Adrian Wills, Thomas B. Schön

CoRR, 2020

On the smoothness of nonlinear system identification.

Antônio H. Ribeiro, Koen Tiels, Jack Umenberger, Thomas B. Schön, Luis Antonio Aguirre

Autom., 2020

Learning a Deformable Registration Pyramid.

Niklas Gunnarsson, Jens Sjölund, Thomas B. Schön

Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020

Optimistic robust linear quadratic dual control.

Jack Umenberger, Thomas B. Schön

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Particle Filter with Rejection Control and Unbiased Estimator of the Marginal Likelihood.

Jan Kudlicka, Lawrence M. Murray, Thomas B. Schön, Fredrik Lindsten

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

The Eighth Visual Object Tracking VOT2020 Challenge Results.

Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhen-Hua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Energy-Based Models for Deep Probabilistic Regression.

Fredrik K. Gustafsson, Martin Danelljan, Goutam Bhat, Thomas B. Schön

Proceedings of the Computer Vision - ECCV 2020, 2020

Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision.

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Automatic 12-lead ECG Classification Using a Convolutional Network Ensemble.

Antônio H. Ribeiro, Daniel Gedon, Daniel Martins Teixeira, Manoel Horta Ribeiro, Antônio Luiz Pinho Ribeiro, Thomas B. Schön, Wagner Meira Jr.

Proceedings of the Computing in Cardiology, 2020

How to Train Your Energy-Based Model for Regression.

Fredrik Gustafsson, Martin Danelljan, Radu Timofte, Thomas B. Schön

Proceedings of the 31st British Machine Vision Conference 2020, 2020

Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness.

Antônio H. Ribeiro, Koen Tiels, Luis Antonio Aguirre, Thomas B. Schön

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

High-Dimensional Filtering Using Nested Sequential Monte Carlo.

Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön

IEEE Trans. Signal Process., 2019

A Fast and Robust Algorithm for Orientation Estimation Using Inertial Sensors.

Manon Kok, Thomas B. Schön

IEEE Signal Process. Lett., 2019

On model order priors for Bayesian identification of SISO linear systems.

Patricio E. Valenzuela, Thomas B. Schön, Cristian R. Rojas

Int. J. Control, 2019

Elements of Sequential Monte Carlo.

Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön

Found. Trends Mach. Learn., 2019

DCTD: Deep Conditional Target Densities for Accurate Regression.

Fredrik K. Gustafsson, Martin Danelljan, Goutam Bhat, Thomas B. Schön

CoRR, 2019

Deep kernel learning for integral measurements.

Carl Jidling, Johannes N. Hendriks, Thomas B. Schön, Adrian Wills

CoRR, 2019

Stochastic quasi-Newton with line-search regularization.

Adrian Wills, Thomas B. Schön

CoRR, 2019

The trade-off between long-term memory and smoothness for recurrent networks.

Antônio H. Ribeiro, Koen Tiels, Luis Antonio Aguirre, Thomas B. Schön

CoRR, 2019

Automatic Diagnosis of the Short-Duration 12-Lead ECG using a Deep Neural Network: the CODE Study.

Antônio H. Ribeiro, Manoel Horta Ribeiro, Gabriela M. M. Paixão, Derick M. de Oliveira, Paulo R. Gomes, Jéssica A. Canazart, Milton P. S. Ferreira, Carl R. Andersson, Peter W. Macfarlane, Wagner Meira Jr., Thomas B. Schön, Antônio Luiz P. Ribeiro

CoRR, 2019

Constructing the Matrix Multilayer Perceptron and its Application to the VAE.

Jalil Taghia, Maria Bånkestad, Fredrik Lindsten, Thomas B. Schön

CoRR, 2019

Optimal controller/observer gains of discounted-cost LQG systems.

Hildo Bijl, Thomas B. Schön

Autom., 2019

Data Consistency Approach to Model Validation.

Andreas Lindholm, Dave Zachariah, Petre Stoica, Thomas B. Schön

IEEE Access, 2019

Probabilistic Programming for Birth-Death Models of Evolution Using an Alive Particle Filter with Delayed Sampling.

Jan Kudlicka, Lawrence M. Murray, Fredrik Ronquist, Thomas B. Schön

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Robust exploration in linear quadratic reinforcement learning.

Jack Umenberger, Mina Ferizbegovic, Thomas B. Schön, Håkan Hjalmarsson

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding.

Muhammad Osama, Dave Zachariah, Thomas B. Schön

Proceedings of the 36th International Conference on Machine Learning, 2019

Bayesian identification of state-space models via adaptive thermostats.

Jack Umenberger, Thomas B. Schön, Fredrik Lindsten

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Deep Convolutional Networks in System Identification.

Carl R. Andersson, Antônio H. Ribeiro, Koen Tiels, Niklas Wahlström, Thomas B. Schön

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Evaluating model calibration in classification.

Juozas Vaicenavicius, David Widmann, Carl R. Andersson, Fredrik Lindsten, Jacob Roll, Thomas B. Schön

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Conditionally Independent Multiresolution Gaussian Processes.

Jalil Taghia, Thomas B. Schön

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Modeling and Interpolation of the Ambient Magnetic Field by Gaussian Processes.

Arno Solin, Manon Kok, Niklas Wahlstrom, Thomas B. Schön, Simo Särkkä

IEEE Trans. Robotics, 2018

Evaluating the squared-exponential covariance function in Gaussian processes with integral observations.

Johannes N. Hendriks, Carl Jidling, Adrian Wills, Thomas B. Schön

CoRR, 2018

Automatic Diagnosis of Short-Duration 12-Lead ECG using a Deep Convolutional Network.

Antônio H. Ribeiro, Manoel Horta Ribeiro, Gabriela Paixão, Derick M. de Oliveira, Paulo R. Gomes, Jéssica A. Canazart, Milton Pifano, Wagner Meira Jr., Thomas B. Schön, Antônio Luiz P. Ribeiro

CoRR, 2018

A fast quasi-Newton-type method for large-scale stochastic optimisation.

Adrian Wills, Carl Jidling, Thomas B. Schön

CoRR, 2018

Probabilistic approach to limited-data computed tomography reconstruction.

Zenith Purisha, Carl Jidling, Niklas Wahlström, Simo Särkkä, Thomas B. Schön

CoRR, 2018

Stochastic quasi-Newton with adaptive step lengths for large-scale problems.

Adrian Wills, Thomas B. Schön

CoRR, 2018

Data-Driven Impulse Response Regularization via Deep Learning.

Carl R. Andersson, Niklas Wahlström, Thomas B. Schön

CoRR, 2018

Maximum likelihood identification of stable linear dynamical systems.

Jack Umenberger, Johan Wågberg, Ian R. Manchester, Thomas B. Schön

Autom., 2018

Automated learning with a probabilistic programming language: Birch.

Lawrence M. Murray, Thomas B. Schön

Annu. Rev. Control., 2018

Learning convex bounds for linear quadratic control policy synthesis.

Jack Umenberger, Thomas B. Schön

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning Localized Spatio-Temporal Models From Streaming Data.

Muhammad Osama, Dave Zachariah, Thomas B. Schön

Proceedings of the 35th International Conference on Machine Learning, 2018

Auxiliary-Particle-Filter-Based Two-Filter Smoothing for Wiener State-Space Models.

Roland Hostettler, Thomas B. Schön

Proceedings of the 21st International Conference on Information Fusion, 2018

Regularized parametric system identification: a decision-theoretic formulation.

Johan Wågberg, Dave Zachariah, Thomas B. Schön

Proceedings of the 2018 Annual American Control Conference, 2018

Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs.

Lawrence M. Murray, Daniel Lundén, Jan Kudlicka, David Broman, Thomas B. Schön

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

System identification through online sparse Gaussian process regression with input noise.

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

IFAC J. Syst. Control., 2017

Using Inertial Sensors for Position and Orientation Estimation.

Manon Kok, Jeroen D. Hol, Thomas B. Schön

Found. Trends Signal Process., 2017

How consistent is my model with the data? Information-Theoretic Model Check.

Andreas Svensson, Dave Zachariah, Thomas B. Schön

CoRR, 2017

Learning nonlinear state-space models using smooth particle-filter-based likelihood approximations.

Andreas Svensson, Fredrik Lindsten, Thomas B. Schön

CoRR, 2017

Online Learning for Distribution-Free Prediction.

Dave Zachariah, Petre Stoica, Thomas B. Schön

CoRR, 2017

Probabilistic learning of nonlinear dynamical systems using sequential Monte Carlo.

Thomas B. Schön, Andreas Svensson, Lawrence M. Murray, Fredrik Lindsten

CoRR, 2017

On robust input design for nonlinear dynamical models.

Patricio E. Valenzuela, Johan Dahlin, Cristian R. Rojas, Thomas B. Schön

Autom., 2017

A flexible state-space model for learning nonlinear dynamical systems.

Andreas Svensson, Thomas B. Schön

Autom., 2017

Linearly constrained Gaussian processes.

Carl Jidling, Niklas Wahlström, Adrian Wills, Thomas B. Schön

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

On the construction of probabilistic Newton-type algorithms.

Adrian G. Wills, Thomas B. Schön

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Prediction Performance After Learning in Gaussian Process Regression.

Johan Wågberg, Dave Zachariah, Thomas B. Schön, Petre Stoica

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Using Convolution to Estimate the Score Function for Intractable State-Transition Models.

Liang Dai, Thomas B. Schön

IEEE Signal Process. Lett., 2016

Rao-Blackwellized Particle Smoothers for Conditionally Linear Gaussian Models.

Fredrik Lindsten, Pete Bunch, Simo Särkkä, Thomas B. Schön, Simon J. Godsill

IEEE J. Sel. Top. Signal Process., 2016

Linear System Identification via EM with Latent Disturbances and Lagrangian Relaxation.

Jack Umenberger, Johan Wågberg, Ian R. Manchester, Thomas B. Schön

CoRR, 2016

Magnetometer calibration using inertial sensors.

Manon Kok, Thomas B. Schön

CoRR, 2016

A Scalable and Distributed Solution to the Inertial Motion Capture Problem.

Manon Kok, Sina Khoshfetrat Pakazad, Thomas B. Schön, Anders Hansson, Jeroen D. Hol

CoRR, 2016

Gaussian process optimization through sampling from the maximum distribution.

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

CoRR, 2016

Online Sparse Gaussian Process Training with Input Noise.

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

CoRR, 2016

Mean and variance of the LQG cost function.

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

Autom., 2016

Accelerometer calibration using sensor fusion with a gyroscope.

Fredrik Olsson, Manon Kok, Kjartan Halvorsen, Thomas B. Schön

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Particle-based Gaussian process optimization for input design in nonlinear dynamical models.

Patricio E. Valenzuela, Johan Dahlin, Cristian R. Rojas, Thomas B. Schön

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Computationally Efficient Bayesian Learning of Gaussian Process State Space Models.

Andreas Svensson, Arno Solin, Simo Särkkä, Thomas B. Schön

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Nonlinear System Identification Using Particle Filters.

Thomas B. Schön

Proceedings of the Encyclopedia of Systems and Control, 2015

Indoor Positioning Using Ultrawideband and Inertial Measurements.

Manon Kok, Jeroen D. Hol, Thomas B. Schön

IEEE Trans. Veh. Technol., 2015

A New Structure Exploiting Derivation of Recursive Direct Weight Optimization.

Liang Dai, Thomas B. Schön

IEEE Trans. Autom. Control., 2015

On the Exponential Convergence of the Kaczmarz Algorithm.

Liang Dai, Thomas B. Schön

IEEE Signal Process. Lett., 2015

Particle Metropolis-Hastings using gradient and Hessian information.

Johan Dahlin, Fredrik Lindsten, Thomas B. Schön

Stat. Comput., 2015

From Pixels to Torques: Policy Learning with Deep Dynamical Models.

Niklas Wahlström, Thomas B. Schön, Marc Peter Deisenroth

CoRR, 2015

Nonlinear state space smoothing using the conditional particle filter.

Andreas Svensson, Thomas B. Schön, Manon Kok

CoRR, 2015

Data-Efficient Learning of Feedback Policies from Image Pixels using Deep Dynamical Models.

John-Alexander M. Assael, Niklas Wahlström, Thomas B. Schön, Marc Peter Deisenroth

CoRR, 2015

Pseudo-marginal metropolis light transport.

Joel Kronander, Thomas B. Schön, Jonas Unger

Proceedings of the SIGGRAPH Asia 2015 Technical Briefs, Kobe, Japan, November 2-6, 2015, 2015

Nested Sequential Monte Carlo Methods.

Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön

Proceedings of the 32nd International Conference on Machine Learning, 2015

Nonlinear state space model identification using a regularized basis function expansion.

Andreas Svensson, Thomas B. Schön, Arno Solin, Simo Särkkä

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Marginalizing Gaussian process hyperparameters using sequential Monte Carlo.

Andreas Svensson, Johan Dahlin, Thomas B. Schön

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014

Particle gibbs with ancestor sampling.

Fredrik Lindsten, Michael I. Jordan, Thomas B. Schön

J. Mach. Learn. Res., 2014

Learning deep dynamical models from image pixels.

Niklas Wahlström, Thomas B. Schön, Marc Peter Deisenroth

CoRR, 2014

Backward sequential Monte Carlo for marginal smoothing.

Joel Kronander, Thomas B. Schön, Johan Dahlin

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Robust auxiliary particle filters using multiple importance sampling.

Joel Kronander, Thomas B. Schön

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Sequential Monte Carlo for Graphical Models.

Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Detecting and positioning overtaking vehicles using 1D optical flow.

Daniel Hultqvist, Jacob Roll, Fredrik Svensson, Johan Dahlin, Thomas B. Schön

Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

Capacity estimation of two-dimensional channels using Sequential Monte Carlo.

Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön

Proceedings of the 2014 IEEE Information Theory Workshop, 2014

Real-time video based lighting using GPU raytracing.

Joel Kronander, Johan Dahlin, Daniel Jönsson, Manon Kok, Thomas B. Schön, Jonas Unger

Proceedings of the 22nd European Signal Processing Conference, 2014

Identification of jump Markov linear models using particle filters.

Andreas Svensson, Thomas B. Schön, Fredrik Lindsten

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

Backward Simulation Methods for Monte Carlo Statistical Inference.

Fredrik Lindsten, Thomas B. Schön

Found. Trends Mach. Learn., 2013

Identification of Gaussian Process State-Space Models with Particle Stochastic Approximation EM.

Roger Frigola, Fredrik Lindsten, Thomas B. Schön, Carl E. Rasmussen

CoRR, 2013

Identification of Hammerstein-Wiener models.

Adrian Wills, Thomas B. Schön, Lennart Ljung, Brett Ninness

Autom., 2013

Bayesian semiparametric Wiener system identification.

Fredrik Lindsten, Thomas B. Schön, Michael I. Jordan

Autom., 2013

Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC.

Roger Frigola, Fredrik Lindsten, Thomas B. Schön, Carl E. Rasmussen

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Modeling magnetic fields using Gaussian processes.

Niklas Wahlstrom, Manon Kok, Thomas B. Schön, Fredrik Gustafsson

Proceedings of the IEEE International Conference on Acoustics, 2013

Adaptive stopping for fast particle smoothing.

Ehsan Taghavi, Fredrik Lindsten, Lennart Svensson, Thomas B. Schön

Proceedings of the IEEE International Conference on Acoustics, 2013

Rao-Blackwellized particle smoothers for mixed linear/nonlinear state-space models.

Fredrik Lindsten, Pete Bunch, Simon J. Godsill, Thomas B. Schön

Proceedings of the IEEE International Conference on Acoustics, 2013

MEMS-based inertial navigation based on a magnetic field map.

Manon Kok, Niklas Wahlstrom, Thomas B. Schön, Fredrik Gustafsson

Proceedings of the IEEE International Conference on Acoustics, 2013

Particle metropolis hastings using Langevin dynamics.

Johan Dahlin, Fredrik Lindsten, Thomas B. Schön

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Ancestor Sampling for Particle Gibbs.

Fredrik Lindsten, Michael I. Jordan, Thomas B. Schön

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

On the use of backward simulation in the particle Gibbs sampler.

Fredrik Lindsten, Thomas B. Schön

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Calibration of a magnetometer in combination with inertial sensors.

Manon Kok, Jeroen D. Hol, Thomas B. Schön, Fredrik Gustafsson, Henk Luinge

Proceedings of the 15th International Conference on Information Fusion, 2012

On mixture reduction for multiple target tracking.

Tohid Ardeshiri, Umut Orguner, Christian Lundquist, Thomas B. Schön

Proceedings of the 15th International Conference on Information Fusion, 2012

2011

A General Convergence Result for Particle Filtering.

Xiao-Li Hu, Thomas B. Schön, Lennart Ljung

IEEE Trans. Signal Process., 2011

Decentralized Particle Filter With Arbitrary State Decomposition.

Tianshi Chen, Thomas B. Schön, Henrik Ohlsson, Lennart Ljung

IEEE Trans. Signal Process., 2011

Joint ego-motion and road geometry estimation.

Christian Lundquist, Thomas B. Schön

Inf. Fusion, 2011

Learning to close loops from range data.

Karl Granström, Thomas B. Schön, Juan I. Nieto, Fabio T. Ramos

Int. J. Robotics Res., 2011

System identification of nonlinear state-space models.

Thomas B. Schön, Adrian Wills, Brett Ninness

Autom., 2011

Bicycle tracking using ellipse extraction.

Tohid Ardeshiri, Fredrik Larsson, Fredrik Gustafsson, Thomas B. Schön, Michael Felsberg

Proceedings of the 14th International Conference on Information Fusion, 2011

2010

Modeling and Calibration of Inertial and Vision Sensors.

Jeroen D. Hol, Thomas B. Schön, Fredrik Gustafsson

Int. J. Robotics Res., 2010

Learning to close the loop from 3D point clouds.

Karl Granström, Thomas B. Schön

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Geo-referencing for UAV navigation using environmental classification.

Fredrik Lindsten, Jonas Callmer, Henrik Ohlsson, David Törnqvist, Thomas B. Schön, Fredrik Gustafsson

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Torchlight Navigation.

Michael Felsberg, Fredrik Larsson, Han Wang, Anders Ynnerman, Thomas B. Schön

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Estimating state-space models in innovations form using the expectation maximisation algorithm.

Adrian Wills, Thomas B. Schön, Brett Ninness

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Estimation of general nonlinear state-space systems.

Brett Ninness, Adrian Wills, Thomas B. Schön

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Identification of mixed linear/nonlinear state-space models.

Fredrik Lindsten, Thomas B. Schön

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Decentralization of particle filters using arbitrary state decomposition.

Tianshi Chen, Thomas B. Schön, Henrik Ohlsson, Lennart Ljung

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009

Particle Filter SLAM with High Dimensional Vehicle Model.

David Törnqvist, Thomas B. Schön, Rickard Karlsson, Fredrik Gustafsson

J. Intell. Robotic Syst., 2009

Experimental comparison of observers for tool position estimation of industrial robots.

Robert Henriksson, Mikael Norrlöf, Stig Moberg, Erik Wernholt, Thomas B. Schön

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008

A Basic Convergence Result for Particle Filtering.

Xiao-Li Hu, Thomas B. Schön, Lennart Ljung

IEEE Trans. Signal Process., 2008

Relative pose calibration of a spherical camera and an IMU.

Jeroen D. Hol, Thomas B. Schön, Fredrik Gustafsson

Proceedings of the 7th IEEE and ACM International Symposium on Mixed and Augmented Reality, 2008

Detecting spurious features using parity space.

David Törnqvist, Thomas B. Schön, Fredrik Gustafsson

Proceedings of the 10th International Conference on Control, 2008

A new algorithm for calibrating a combined camera and IMU sensor unit.

Jeroen D. Hol, Thomas B. Schön, Fredrik Gustafsson

Proceedings of the 10th International Conference on Control, 2008

2007

Robust real-time tracking by fusing measurements from inertial and vision sensors.

Jeroen D. Hol, Thomas B. Schön, Henk Luinge, Per J. Slycke, Fredrik Gustafsson

J. Real Time Image Process., 2007

On parameter and state estimation for linear differential-algebraic equations.

Markus Gerdin, Thomas B. Schön, S. Torkel Glad, Fredrik Gustafsson, Lennart Ljung

Autom., 2007

A framework for simultaneous localization and mapping utilizing model structure.

Thomas B. Schön, Rickard Karlsson, David Törnqvist, Fredrik Gustafsson

Proceedings of the 10th International Conference on Information Fusion, 2007

Fast particle filters for multi-rate sensors.

Thomas B. Schön, David Törnqvist, Fredrik Gustafsson

Proceedings of the 15th European Signal Processing Conference, 2007

A robust particle filter for state estimation - with convergence results.

Xiao-Li Hu, Thomas B. Schön, Lennart Ljung

Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006

Sensor Fusion for Augmented Reality.

Jeroen D. Hol, Thomas B. Schön, Fredrik Gustafsson, Per J. Slycke

Proceedings of the 9th International Conference on Information Fusion, 2006

2005

Marginalized particle filters for mixed linear/nonlinear state-space models.

Thomas B. Schön, Fredrik Gustafsson, Per-Johan Nordlund

IEEE Trans. Signal Process., 2005

Complexity analysis of the marginalized particle filter.

Rickard Karlsson, Thomas B. Schön, Fredrik Gustafsson

IEEE Trans. Signal Process., 2005

2003

A note on state estimation as a convex optimization problem.

Thomas B. Schön, Fredrik Gustafsson, Anders Hansson

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

A modeling and filtering framework for linear differential-algebraic equations.

Thomas B. Schön, Markus Gerdin, S. Torkel Glad, Fredrik Gustafsson

Proceedings of the 42nd IEEE Conference on Decision and Control, 2003