Thomas B. Schön

270 papers A* 12A 15B 3C 10Misc 8Journal 174Unranked 46

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Ergodicity in reinforcement learning. CoRR Dominik Baumann, Erfaun Noorani, Arsenii Mustafin, Xinyi Sheng, Bert Verbruggen, Arne Vanhoyweghen, Vincent Ginis, Thomas B. Schön
2026	J	`jnl`	Self-Rewarding Sequential Monte Carlo for Masked Diffusion Language Models. CoRR Ziwei Luo, Ziqi Jin, Lei Wang, Lidong Bing, Thomas B. Schön
2026	J	`jnl`	Simultaneous State Estimation and Online Model Learning in a Soft Robotic System. CoRR Jan-Hendrik Ewering, Max Bartholdt, Simon F. G. Ehlers, Niklas Wahlström, Thomas B. Schön, Thomas Seel
2025	J	`jnl`	CODE-II: A large-scale dataset for artificial intelligence in ECG analysis. CoRR Petrus E. O. G. B. Abreu, Gabriela M. M. Paixão, Jiawei Li, Paulo R. Gomes, Peter W. Macfarlane, Ana C. S. Oliveira, Vinicius T. Carvalho, Thomas B. Schön, Antônio Luiz P. Ribeiro, Antônio H. Ribeiro
2025	A	`conf`	Conditioning diffusion models by explicit forward-backward bridging. AISTATS Adrien Corenflos, Zheng Zhao, Thomas B. Schön, Simo Särkkä, Jens Sjölund
2025	J	`jnl`	Deep networks for system identification: A survey. Autom. Gianluigi Pillonetto, Aleksandr Y. Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön
2025	A	`conf`	Efficient Optimization Algorithms for Linear Adversarial Training. AISTATS Antônio H. Ribeiro, Thomas B. Schön, Dave Zachariah, Francis Bach
2025	J	`jnl`	Forward-only Diffusion Probabilistic Models. CoRR Ziwei Luo, Fredrik K. Gustafsson, Jens Sjölund, Thomas B. Schön
2025	—	`conf`	Hallucination Detection in LLMs: Fast and Memory-Efficient Finetuned Models. NLDL Gabriel Y. Arteaga, Thomas B. Schön, Nicolas Pielawski
2025	J	`jnl`	Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization. CoRR Antônio H. Ribeiro, David Vävinggren, Dave Zachariah, Thomas B. Schön, Francis R. Bach
2025	J	`jnl`	Learning Dynamics from Input-Output Data with Hamiltonian Gaussian Processes. CoRR Jan-Hendrik Ewering, Robin E. Herrmann, Niklas Wahlström, Thomas B. Schön, Thomas Seel
2025	J	`jnl`	Probabilistic Bubble Roadmap. CoRR Bernhard Wullt, Mikael Norrlöf, Per Mattsson, Thomas B. Schön
2025	J	`jnl`	Reinforcement learning with non-ergodic reward increments: robustness via ergodicity transformations. Trans. Mach. Learn. Res. Dominik Baumann, Erfaun Noorani, James Price, Ole Peters, Colm Connaughton, Thomas B. Schön
2025	J	`jnl`	Robust Convex Model Predictive Control with collision avoidance guarantees for robot manipulators. CoRR Bernhard Wullt, Johannes Köhler, Per Mattsson, Mikael Norrlöf, Thomas B. Schön
2025	J	`jnl`	Safe Bayesian Optimization Across Noise Models via Scenario Programming. IEEE Control. Syst. Lett. Abdullah Tokmak, Thomas B. Schön, Dominik Baumann
2025	J	`jnl`	Safe Bayesian optimization across noise models via scenario programming. CoRR Abdullah Tokmak, Thomas B. Schön, Dominik Baumann
2025	A	`conf`	Safe exploration in reproducing kernel Hilbert spaces. AISTATS Abdullah Tokmak, Kiran G. Krishnan, Thomas B. Schön, Dominik Baumann
2025	J	`jnl`	Safe exploration in reproducing kernel Hilbert spaces. CoRR Abdullah Tokmak, Kiran G. Krishnan, Thomas B. Schön, Dominik Baumann
2025	J	`jnl`	Supervised Models Can Generalize Also When Trained on Random Labels. CoRR Oskar Allerbo, Thomas B. Schön
2025	—	`conf`	Towards safe control parameter tuning in distributed multi-agent systems. CDC Abdullah Tokmak, Thomas B. Schön, Dominik Baumann
2025	J	`jnl`	Towards safe control parameter tuning in distributed multi-agent systems. CoRR Abdullah Tokmak, Thomas B. Schön, Dominik Baumann
2024	—	`conf`	A Model Predictive Control Approach to Motion Planning in Dynamic Environments. ECC Bernhard Wullt, Per Mattsson, Thomas B. Schön, Mikael Norrlöf
2024	J	`jnl`	Accounts of using the Tustin-Net architecture on a rotary inverted pendulum. CoRR Stijn van Esch, Fabio Bonassi, Thomas B. Schön
2024	J	`jnl`	Conditional sampling within generative diffusion models. CoRR Zheng Zhao, Ziwei Luo, Jens Sjölund, Thomas B. Schön
2024	J	`jnl`	Conditioning diffusion models by explicit forward-backward bridging. CoRR Adrien Corenflos, Zheng Zhao, Simo Särkkä, Jens Sjölund, Thomas B. Schön
2024	A*	`conf`	Controlling Vision-Language Models for Multi-Task Image Restoration. ICLR Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön
2024	J	`jnl`	Efficient Optimization Algorithms for Linear Adversarial Training. CoRR Antônio H. Ribeiro, Thomas B. Schön, Dave Zahariah, Francis R. Bach
2024	A*	`conf`	Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning. NeurIPS Ruoqi Zhang, Ziwei Luo, Jens Sjölund, Thomas B. Schön, Per Mattsson
2024	J	`jnl`	Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning. CoRR Ruoqi Zhang, Ziwei Luo, Jens Sjölund, Thomas B. Schön, Per Mattsson
2024	J	`jnl`	Hallucination Detection in LLMs: Fast and Memory-Efficient Finetuned Models. CoRR Gabriel Y. Arteaga, Thomas B. Schön, Nicolas Pielawski
2024	—	`conf`	Learning state observers for recurrent neural network models. CDC Fabio Bonassi, Carl R. Andersson, Per Mattsson, Thomas B. Schön
2024	—	`conf`	NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge. CVPR Workshops Jie Liang, Radu Timofte, Qiaosi Yi, Shuaizheng Liu, Lingchen Sun, Rongyuan Wu, Xindong Zhang, Hui Zeng, Lei Zhang, Yibin Huang, Shuai Liu, Yongqiang Li, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yuxiang Chen, Xiangyu Chen, Qiubo Chen, Fengyu Sun, Mengying Cui, Jiaxu Chen, Zhenyu Hu, Jingyun Liu, Wenzhuo Ma, Ce Wang, Hanyou Zheng, Wanjie Sun, Zhenzhong Chen, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Xiong Dun, Pengzhou Ji, Yujie Xing, Xuquan Wang, Zhanshan Wang, Xinbin Cheng, Jun Xiao, Chenhang He, Xiuyuan Wang, Zhi-Song Liu, Zimeng Miao, Zhicun Yin, Ming Liu, Wangmeng Zuo, Shuai Li
2024	A*	`conf`	No Double Descent in Principal Component Regression: A High-Dimensional Analysis. ICML Daniel Gedon, Antônio H. Ribeiro, Thomas B. Schön
2024	A	`conf`	On Feynman-Kac training of partial Bayesian neural networks. AISTATS Zheng Zhao, Sebastian Mair, Thomas B. Schön, Jens Sjölund
2024	J	`jnl`	On the Equivalence of Direct and Indirect Data-Driven Predictive Control Approaches. IEEE Control. Syst. Lett. Per Mattsson, Fabio Bonassi, Valentina Breschi, Thomas B. Schön
2024	J	`jnl`	On the equivalence of direct and indirect data-driven predictive control approaches. CoRR Per Mattsson, Fabio Bonassi, Valentina Breschi, Thomas B. Schön
2024	—	`conf`	Online Learning in Motion Modeling for Intra-interventional Image Sequences. MICCAI (2) Niklas Gunnarsson, Jens Sjölund, Peter Kimstrand, Thomas B. Schön
2024	J	`jnl`	Online learning in motion modeling for intra-interventional image sequences. CoRR Niklas Gunnarsson, Jens Sjölund, Peter Kimstrand, Thomas B. Schön
2024	J	`jnl`	PACSBO: Probably approximately correct safe Bayesian optimization. CoRR Abdullah Tokmak, Thomas B. Schön, Dominik Baumann
2024	—	`conf`	Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models. CVPR Workshops Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön
2024	J	`jnl`	Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models. CoRR Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön
2024	J	`jnl`	Safe Reinforcement Learning in Uncertain Contexts. IEEE Trans. Robotics Dominik Baumann, Thomas B. Schön
2024	J	`jnl`	Safe reinforcement learning in uncertain contexts. CoRR Dominik Baumann, Thomas B. Schön
2024	J	`jnl`	Taming Diffusion Models for Image Restoration: A Review. CoRR Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön
2024	A	`conf`	Uncertainty Estimation with Recursive Feature Machines. UAI Daniel Gedon, Amirhesam Abedsoltan, Thomas B. Schön, Mikhail Belkin
2023	J	`jnl`	Controlling Vision-Language Models for Universal Image Restoration. CoRR Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön
2023	J	`jnl`	Deep networks for system identification: a Survey. CoRR Gianluigi Pillonetto, Aleksandr Y. Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön
2023	J	`jnl`	End-to-end Risk Prediction of Atrial Fibrillation from the 12-Lead ECG by Deep Neural Networks. CoRR Theogene Habineza, Antônio H. Ribeiro, Daniel Gedon, Joachim A. Behar, Antônio Luiz Pinho Ribeiro, Thomas B. Schön
2023	J	`jnl`	Guarantees for data-driven control of nonlinear systems using semidefinite programming: A survey. Annu. Rev. Control. Tim Martin, Thomas B. Schön, Frank Allgöwer
2023	J	`jnl`	Guarantees for data-driven control of nonlinear systems using semidefinite programming: A survey. CoRR Tim Martin, Thomas B. Schön, Frank Allgöwer
2023	J	`jnl`	How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts? CoRR Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
2023	J	`jnl`	How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts? Trans. Mach. Learn. Res. Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
2023	A*	`conf`	Image Restoration with Mean-Reverting Stochastic Differential Equations. ICML Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön
2023	J	`jnl`	Image Restoration with Mean-Reverting Stochastic Differential Equations. CoRR Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön
2023	J	`jnl`	Invertible Kernel PCA With Random Fourier Features. IEEE Signal Process. Lett. Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön
2023	J	`jnl`	Invertible Kernel PCA with Random Fourier Features. CoRR Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön
2023	—	`conf`	Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report. CVPR Workshops 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
2023	—	`conf`	NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops 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
2023	—	`conf`	NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report. CVPR Workshops 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
2023	—	`conf`	NTIRE 2023 Image Shadow Removal Challenge Report. CVPR Workshops 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, Xianwei Li, 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
2023	J	`jnl`	Non-ergodicity in reinforcement learning: robustness via ergodicity transformations. CoRR Dominik Baumann, Erfaun Noorani, James Price, Ole Peters, Colm Connaughton, Thomas B. Schön
2023	J	`jnl`	On Feynman-Kac training of partial Bayesian neural networks. CoRR Zheng Zhao, Sebastian Mair, Thomas B. Schön, Jens Sjölund
2023	J	`jnl`	On the trade-off between event-based and periodic state estimation under bandwidth constraints. CoRR Dominik Baumann, Thomas B. Schön
2023	J	`jnl`	Online Learning for Prediction via Covariance Fitting: Computation, Performance and Robustness. Trans. Mach. Learn. Res. Muhammad Osama, Dave Zachariah, Peter Stoica, Thomas B. Schön
2023	J	`jnl`	Overparameterized Linear Regression Under Adversarial Attacks. IEEE Trans. Signal Process. Antônio H. Ribeiro, Thomas B. Schön
2023	J	`jnl`	Probabilistic Estimation of Instantaneous Frequencies of Chirp Signals. IEEE Trans. Signal Process. Zheng Zhao, Simo Särkkä, Jens Sjölund, Thomas B. Schön
2023	J	`jnl`	Rao-Blackwellized Particle Smoothing for Simultaneous Localization and Mapping. CoRR Manon Kok, Arno Solin, Thomas B. Schön
2023	—	`conf`	Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models. CVPR Workshops Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön
2023	J	`jnl`	Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models. CoRR Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön
2023	A*	`conf`	Regularization properties of adversarially-trained linear regression. NeurIPS Antônio H. Ribeiro, Dave Zachariah, Francis R. Bach, Thomas B. Schön
2023	J	`jnl`	Regularization properties of adversarially-trained linear regression. CoRR Antônio H. Ribeiro, Dave Zachariah, Francis R. Bach, Thomas B. Schön
2023	J	`jnl`	Sequential Monte Carlo: A Unified Review. Annu. Rev. Control. Robotics Auton. Syst. Adrian G. Wills, Thomas B. Schön
2023	J	`jnl`	Smoothed State Estimation via Efficient Solution of Linear Equations. IEEE Trans. Autom. Control. Li-Hui Geng, Adrian G. Wills, Brett Ninness, Thomas B. Schön
2023	J	`jnl`	Structured state-space models are deep Wiener models. CoRR Fabio Bonassi, Carl R. Andersson, Per Mattsson, Thomas B. Schön
2023	J	`jnl`	Variational Elliptical Processes. CoRR Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön
2023	J	`jnl`	Variational Elliptical Processes. Trans. Mach. Learn. Res. Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön
2023	J	`jnl`	Variational system identification for nonlinear state-space models. Autom. Jarrad Courts, Adrian G. Wills, Thomas B. Schön, Brett Ninness
2022	J	`jnl`	Data to Controller for Nonlinear Systems: An Approximate Solution. IEEE Control. Syst. Lett. Johannes N. Hendriks, James R. Z. Holdsworth, Adrian G. Wills, Thomas B. Schön, Brett Ninness
2022	J	`jnl`	Direct Transmittance Estimation in Heterogeneous Participating Media Using Approximated Taylor Expansions. IEEE Trans. Vis. Comput. Graph. Daniel Jönsson, Joel Kronander, Jonas Unger, Thomas B. Schön, Magnus Wrenninge
2022	J	`jnl`	ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods. CoRR Philipp Von Bachmann, Daniel Gedon, Fredrik K. Gustafsson, Antônio H. Ribeiro, Erik Lampa, Stefan Gustafsson, Johan Sundström, Thomas B. Schön
2022	J	`jnl`	Efficient Learning of the Parameters of Non-Linear Models Using Differentiable Resampling in Particle Filters. IEEE Trans. Signal Process. Conor Rosato, Lee Devlin, Vincent Béraud, Paul R. Horridge, Thomas B. Schön, Simon Maskell
2022	J	`jnl`	Gaussian inference for data-driven state-feedback design of nonlinear systems. CoRR Tim Martin, Thomas B. Schön, Frank Allgöwer
2022	J	`jnl`	Incorporating Sum Constraints into Multitask Gaussian Processes. CoRR Philipp Pilar, Carl Jidling, Thomas B. Schön, Niklas Wahlström
2022	J	`jnl`	Incorporating Sum Constraints into Multitask Gaussian Processes. Trans. Mach. Learn. Res. Philipp Pilar, Carl Jidling, Thomas B. Schön, Niklas Wahlström
2022	A	`conf`	Learning Proposals for Practical Energy-Based Regression. AISTATS Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
2022	J	`jnl`	Overparameterized Linear Regression under Adversarial Attacks. CoRR Antônio H. Ribeiro, Thomas B. Schön
2022	J	`jnl`	Surprises in adversarially-trained linear regression. CoRR Antônio H. Ribeiro, Dave Zachariah, Thomas B. Schön
2022	C	`conf`	Unsupervised dynamic modeling of medical image transformations. FUSION Niklas Gunnarsson, Jens Sjölund, Peter Kimstrand, Thomas B. Schön
2021	J	`jnl`	A Probabilistically Motivated Learning Rate Adaptation for Stochastic Optimization. CoRR Filip de Roos, Carl Jidling, Adrian Wills, Thomas B. Schön, Philipp Hennig
2021	—	`conf`	Accurate 3D Object Detection Using Energy-Based Models. CVPR Workshops Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
2021	J	`jnl`	Data to Controller for Nonlinear Systems: An Approximate Solution. CoRR Johannes N. Hendriks, James R. Z. Holdsworth, Adrian G. Wills, Thomas B. Schön, Brett Ninness
2021	J	`jnl`	Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters. CoRR Conor Rosato, Paul R. Horridge, Thomas B. Schön, Simon Maskell
2021	—	`conf`	First Steps Towards Self-Supervised Pretraining of the 12-Lead ECG. CinC Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön
2021	J	`jnl`	Gaussian Variational State Estimation for Nonlinear State-Space Models. IEEE Trans. Signal Process. Jarrad Courts, Adrian G. Wills, Thomas B. Schön
2021	Misc	`conf`	How Convolutional Neural Networks Deal with Aliasing. ICASSP Antônio H. Ribeiro, Thomas B. Schön
2021	J	`jnl`	How Convolutional Neural Networks Deal with Aliasing. CoRR Antônio H. Ribeiro, Thomas B. Schön
2021	J	`jnl`	Latent linear dynamics in spatiotemporal medical data. CoRR Niklas Gunnarsson, Jens Sjölund, Thomas B. Schön
2021	J	`jnl`	Learning Proposals for Practical Energy-Based Regression. CoRR Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
2021	J	`jnl`	Learning deep autoregressive models for hierarchical data. CoRR Carl R. Andersson, Niklas Wahlström, Thomas B. Schön
2021	J	`jnl`	Stochastic quasi-Newton with line-search regularisation. Autom. Adrian G. Wills, Thomas B. Schön
2021	—	`conf`	Willems' fundamental lemma based on second-order moments. CDC Mina Ferizbegovic, Håkan Hjalmarsson, Per Mattsson, Thomas B. Schön
2020	J	`jnl`	Accurate 3D Object Detection using Energy-Based Models. CoRR Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
2020	—	`conf`	Automatic 12-lead ECG Classification Using a Convolutional Network Ensemble. CinC Antônio H. Ribeiro, Daniel Gedon, Daniel Martins Teixeira, Manoel Horta Ribeiro, Antônio Luiz Pinho Ribeiro, Thomas B. Schön, Wagner Meira Jr.
2020	J	`jnl`	Beyond Occam's Razor in System Identification: Double-Descent when Modeling Dynamics. CoRR Antônio H. Ribeiro, Johannes N. Hendriks, Adrian G. Wills, Thomas B. Schön
2020	A	`conf`	Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness. AISTATS Antônio H. Ribeiro, Koen Tiels, Luis Antonio Aguirre, Thomas B. Schön
2020	J	`jnl`	Constructing a variational family for nonlinear state-space models. CoRR Jarrad Courts, Christopher Renton, Thomas B. Schön, Adrian Wills
2020	J	`jnl`	Deep Energy-Based NARX Models. CoRR Johannes N. Hendriks, Fredrik K. Gustafsson, Antônio H. Ribeiro, Adrian G. Wills, Thomas B. Schön
2020	J	`jnl`	Deep State Space Models for Nonlinear System Identification. CoRR Daniel Gedon, Niklas Wahlström, Thomas B. Schön, Lennart Ljung
2020	—	`conf`	Energy-Based Models for Deep Probabilistic Regression. ECCV (20) Fredrik K. Gustafsson, Martin Danelljan, Goutam Bhat, Thomas B. Schön
2020	—	`conf`	Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision. CVPR Workshops Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
2020	A	`conf`	How to Train Your Energy-Based Model for Regression. BMVC Fredrik Gustafsson, Martin Danelljan, Radu Timofte, Thomas B. Schön
2020	J	`jnl`	How to Train Your Energy-Based Model for Regression. CoRR Fredrik K. Gustafsson, Martin Danelljan, Radu Timofte, Thomas B. Schön
2020	J	`jnl`	Learning Robust LQ-Controllers Using Application Oriented Exploration. IEEE Control. Syst. Lett. Mina Ferizbegovic, Jack Umenberger, Håkan Hjalmarsson, Thomas B. Schön
2020	—	`conf`	Learning a Deformable Registration Pyramid. MICCAI (Challenges) Niklas Gunnarsson, Jens Sjölund, Thomas B. Schön
2020	J	`jnl`	Linearly Constrained Neural Networks. CoRR Johannes N. Hendriks, Carl Jidling, Adrian Wills, Thomas B. Schön
2020	J	`jnl`	Nonlinear Input Design as Optimal Control of a Hamiltonian System. IEEE Control. Syst. Lett. Jack Umenberger, Thomas B. Schön
2020	J	`jnl`	On the smoothness of nonlinear system identification. Autom. Antônio H. Ribeiro, Koen Tiels, Jack Umenberger, Thomas B. Schön, Luis Antonio Aguirre
2020	—	`conf`	Optimistic robust linear quadratic dual control. L4DC Jack Umenberger, Thomas B. Schön
2020	Misc	`conf`	Particle Filter with Rejection Control and Unbiased Estimator of the Marginal Likelihood. ICASSP Jan Kudlicka, Lawrence M. Murray, Thomas B. Schön, Fredrik Lindsten
2020	J	`jnl`	Registration by tracking for sequential 2D MRI. CoRR Niklas Gunnarsson, Jens Sjölund, Thomas B. Schön
2020	—	`conf`	The Eighth Visual Object Tracking VOT2020 Challenge Results. ECCV Workshops (5) 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, Zhenhua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma
2020	J	`jnl`	The Elliptical Processes: a New Family of Flexible Stochastic Processes. CoRR Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön
2020	J	`jnl`	The effect of interventions on COVID-19. Nat. 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
2020	J	`jnl`	Variational Nonlinear System Identification. CoRR Jarrad Courts, Adrian Wills, Thomas B. Schön, Brett Ninness
2020	J	`jnl`	Variational State and Parameter Estimation. CoRR Jarrad Courts, Johannes N. Hendriks, Adrian Wills, Thomas B. Schön, Brett Ninness
2019	J	`jnl`	A Fast and Robust Algorithm for Orientation Estimation Using Inertial Sensors. IEEE Signal Process. Lett. Manon Kok, Thomas B. Schön
2019	J	`jnl`	A Fast and Robust Algorithm for Orientation Estimation using Inertial Sensors. CoRR Manon Kok, Thomas B. Schön
2019	J	`jnl`	Automatic Diagnosis of the Short-Duration 12-Lead ECG using a Deep Neural Network: the CODE Study. CoRR 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
2019	—	`conf`	Bayesian identification of state-space models via adaptive thermostats. CDC Jack Umenberger, Thomas B. Schön, Fredrik Lindsten
2019	A	`conf`	Conditionally Independent Multiresolution Gaussian Processes. AISTATS Jalil Taghia, Thomas B. Schön
2019	J	`jnl`	Constructing the Matrix Multilayer Perceptron and its Application to the VAE. CoRR Jalil Taghia, Maria Bånkestad, Fredrik Lindsten, Thomas B. Schön
2019	J	`jnl`	DCTD: Deep Conditional Target Densities for Accurate Regression. CoRR Fredrik K. Gustafsson, Martin Danelljan, Goutam Bhat, Thomas B. Schön
2019	J	`jnl`	Data Consistency Approach to Model Validation. IEEE Access Andreas Lindholm, Dave Zachariah, Petre Stoica, Thomas B. Schön
2019	—	`conf`	Deep Convolutional Networks in System Identification. CDC Carl R. Andersson, Antônio H. Ribeiro, Koen Tiels, Niklas Wahlström, Thomas B. Schön
2019	J	`jnl`	Deep Convolutional Networks in System Identification. CoRR Carl R. Andersson, Antônio H. Ribeiro, Koen Tiels, Niklas Wahlström, Thomas B. Schön
2019	J	`jnl`	Deep kernel learning for integral measurements. CoRR Carl Jidling, Johannes N. Hendriks, Thomas B. Schön, Adrian Wills
2019	J	`jnl`	Elements of Sequential Monte Carlo. CoRR Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön
2019	J	`jnl`	Elements of Sequential Monte Carlo. Found. Trends Mach. Learn. Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön
2019	J	`jnl`	Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision. CoRR Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
2019	A	`conf`	Evaluating model calibration in classification. AISTATS Juozas Vaicenavicius, David Widmann, Carl R. Andersson, Fredrik Lindsten, Jacob Roll, Thomas B. Schön
2019	J	`jnl`	Evaluating model calibration in classification. CoRR Juozas Vaicenavicius, David Widmann, Carl R. Andersson, Fredrik Lindsten, Jacob Roll, Thomas B. Schön
2019	J	`jnl`	High-Dimensional Filtering Using Nested Sequential Monte Carlo. IEEE Trans. Signal Process. Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön
2019	A*	`conf`	Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding. ICML Muhammad Osama, Dave Zachariah, Thomas B. Schön
2019	J	`jnl`	Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding. CoRR Muhammad Osama, Dave Zachariah, Thomas B. Schön
2019	J	`jnl`	Nonlinear input design as optimal control of a Hamiltonian system. CoRR Jack Umenberger, Thomas B. Schön
2019	J	`jnl`	On model order priors for Bayesian identification of SISO linear systems. Int. J. Control Patricio E. Valenzuela, Thomas B. Schön, Cristian R. Rojas
2019	J	`jnl`	On the Smoothness of Nonlinear System Identification. CoRR Antônio H. Ribeiro, Koen Tiels, Jack Umenberger, Thomas B. Schön, Luis Antonio Aguirre
2019	J	`jnl`	Optimal controller/observer gains of discounted-cost LQG systems. Autom. Hildo Bijl, Thomas B. Schön
2019	J	`jnl`	Optimistic robust linear quadratic dual control. CoRR Jack Umenberger, Thomas B. Schön
2019	A	`conf`	Probabilistic Programming for Birth-Death Models of Evolution Using an Alive Particle Filter with Delayed Sampling. UAI Jan Kudlicka, Lawrence M. Murray, Fredrik Ronquist, Thomas B. Schön
2019	A*	`conf`	Robust exploration in linear quadratic reinforcement learning. NeurIPS Jack Umenberger, Mina Ferizbegovic, Thomas B. Schön, Håkan Hjalmarsson
2019	J	`jnl`	Robust exploration in linear quadratic reinforcement learning. CoRR Jack Umenberger, Mina Ferizbegovic, Thomas B. Schön, Håkan Hjalmarsson
2019	J	`jnl`	Stochastic quasi-Newton with line-search regularization. CoRR Adrian Wills, Thomas B. Schön
2019	J	`jnl`	The trade-off between long-term memory and smoothness for recurrent networks. CoRR Antônio H. Ribeiro, Koen Tiels, Luis Antonio Aguirre, Thomas B. Schön
2018	J	`jnl`	A fast quasi-Newton-type method for large-scale stochastic optimisation. CoRR Adrian Wills, Carl Jidling, Thomas B. Schön
2018	J	`jnl`	Automated learning with a probabilistic programming language: Birch. Annu. Rev. Control. Lawrence M. Murray, Thomas B. Schön
2018	J	`jnl`	Automated learning with a probabilistic programming language: Birch. CoRR Lawrence M. Murray, Thomas B. Schön
2018	J	`jnl`	Automatic Diagnosis of Short-Duration 12-Lead ECG using a Deep Convolutional Network. CoRR Antônio H. Ribeiro, Manoel Horta Ribeiro, Gabriela Paixão, Derick M. de Oliveira, Paulo R. Gomes, Jéssica A. Canazart, Milton P. S. Ferreira, Wagner Meira Jr., Thomas B. Schön, Antônio Luiz P. Ribeiro
2018	C	`conf`	Auxiliary-Particle-Filter-Based Two-Filter Smoothing for Wiener State-Space Models. FUSION Roland Hostettler, Thomas B. Schön
2018	J	`jnl`	Data-Driven Impulse Response Regularization via Deep Learning. CoRR Carl R. Andersson, Niklas Wahlström, Thomas B. Schön
2018	A	`conf`	Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs. AISTATS Lawrence M. Murray, Daniel Lundén, Jan Kudlicka, David Broman, Thomas B. Schön
2018	J	`jnl`	Evaluating the squared-exponential covariance function in Gaussian processes with integral observations. CoRR Johannes N. Hendriks, Carl Jidling, Adrian Wills, Thomas B. Schön
2018	A*	`conf`	Learning Localized Spatio-Temporal Models From Streaming Data. ICML Muhammad Osama, Dave Zachariah, Thomas B. Schön
2018	J	`jnl`	Learning Localized Spatio-Temporal Models From Streaming Data. CoRR Muhammad Osama, Dave Zachariah, Thomas B. Schön
2018	A*	`conf`	Learning convex bounds for linear quadratic control policy synthesis. NeurIPS Jack Umenberger, Thomas B. Schön
2018	J	`jnl`	Learning convex bounds for linear quadratic control policy synthesis. CoRR Jack Umenberger, Thomas B. Schön
2018	J	`jnl`	Maximum likelihood identification of stable linear dynamical systems. Autom. Jack Umenberger, Johan Wågberg, Ian R. Manchester, Thomas B. Schön
2018	J	`jnl`	Modeling and Interpolation of the Ambient Magnetic Field by Gaussian Processes. IEEE Trans. Robotics Arno Solin, Manon Kok, Niklas Wahlstrom, Thomas B. Schön, Simo Särkkä
2018	J	`jnl`	Probabilistic approach to limited-data computed tomography reconstruction. CoRR Zenith Purisha, Carl Jidling, Niklas Wahlström, Simo Särkkä, Thomas B. Schön
2018	C	`conf`	Regularized parametric system identification: a decision-theoretic formulation. ACC Johan Wågberg, Dave Zachariah, Thomas B. Schön
2018	J	`jnl`	Stochastic quasi-Newton with adaptive step lengths for large-scale problems. CoRR Adrian Wills, Thomas B. Schön
2017	J	`jnl`	A flexible state-space model for learning nonlinear dynamical systems. Autom. Andreas Svensson, Thomas B. Schön
2017	J	`jnl`	How consistent is my model with the data? Information-Theoretic Model Check. CoRR Andreas Svensson, Dave Zachariah, Thomas B. Schön
2017	J	`jnl`	Learning nonlinear state-space models using smooth particle-filter-based likelihood approximations. CoRR Andreas Svensson, Fredrik Lindsten, Thomas B. Schön
2017	—	`conf`	Linearly constrained Gaussian processes. NIPS Carl Jidling, Niklas Wahlström, Adrian Wills, Thomas B. Schön
2017	J	`jnl`	On robust input design for nonlinear dynamical models. Autom. Patricio E. Valenzuela, Johan Dahlin, Cristian R. Rojas, Thomas B. Schön
2017	—	`conf`	On the construction of probabilistic Newton-type algorithms. CDC Adrian G. Wills, Thomas B. Schön
2017	J	`jnl`	Online Learning for Distribution-Free Prediction. CoRR Dave Zachariah, Petre Stoica, Thomas B. Schön
2017	J	`jnl`	Optimal controller/observer gains of discounted-cost LQG systems. CoRR Hildo Bijl, Thomas B. Schön
2017	A	`conf`	Prediction Performance After Learning in Gaussian Process Regression. AISTATS Johan Wågberg, Dave Zachariah, Thomas B. Schön, Petre Stoica
2017	J	`jnl`	Probabilistic learning of nonlinear dynamical systems using sequential Monte Carlo. CoRR Thomas B. Schön, Andreas Svensson, Lawrence M. Murray, Fredrik Lindsten
2017	J	`jnl`	Regularized parametric system identification: a decision-theoretic formulation. CoRR Johan Wågberg, Dave Zachariah, Thomas B. Schön
2017	J	`jnl`	System identification through online sparse Gaussian process regression with input noise. IFAC J. Syst. Control. Hildo Bijl, Thomas B. Schön, Jan-Willem van Wingerden, Michel Verhaegen
2017	J	`jnl`	Using Inertial Sensors for Position and Orientation Estimation. CoRR Manon Kok, Jeroen D. Hol, Thomas B. Schön
2017	J	`jnl`	Using Inertial Sensors for Position and Orientation Estimation. Found. Trends Signal Process. Manon Kok, Jeroen D. Hol, Thomas B. Schön
2016	J	`jnl`	A Scalable and Distributed Solution to the Inertial Motion Capture Problem. CoRR Manon Kok, Sina Khoshfetrat Pakazad, Thomas B. Schön, Anders Hansson, Jeroen D. Hol
2016	J	`jnl`	A flexible state space model for learning nonlinear dynamical systems. CoRR Andreas Svensson, Thomas B. Schön
2016	—	`conf`	Accelerometer calibration using sensor fusion with a gyroscope. SSP Fredrik Olsson, Manon Kok, Kjartan Halvorsen, Thomas B. Schön
2016	A	`conf`	Computationally Efficient Bayesian Learning of Gaussian Process State Space Models. AISTATS Andreas Svensson, Arno Solin, Simo Särkkä, Thomas B. Schön
2016	J	`jnl`	Gaussian process optimization through sampling from the maximum distribution. CoRR Hildo Bijl, Thomas B. Schön, Jan-Willem van Wingerden, Michel Verhaegen
2016	J	`jnl`	Linear System Identification via EM with Latent Disturbances and Lagrangian Relaxation. CoRR Jack Umenberger, Johan Wågberg, Ian R. Manchester, Thomas B. Schön
2016	J	`jnl`	Magnetometer calibration using inertial sensors. CoRR Manon Kok, Thomas B. Schön
2016	J	`jnl`	Mean and variance of the LQG cost function. Autom. Hildo Bijl, Jan-Willem van Wingerden, Thomas B. Schön, Michel Verhaegen
2016	J	`jnl`	Mean and variance of the LQG cost function. CoRR Hildo Bijl, Jan-Willem van Wingerden, Thomas B. Schön, Michel Verhaegen
2016	J	`jnl`	Online Sparse Gaussian Process Training with Input Noise. CoRR Hildo Bijl, Thomas B. Schön, Jan-Willem van Wingerden, Michel Verhaegen
2016	—	`conf`	Particle-based Gaussian process optimization for input design in nonlinear dynamical models. CDC Patricio E. Valenzuela, Johan Dahlin, Cristian R. Rojas, Thomas B. Schön
2016	J	`jnl`	Rao-Blackwellized Particle Smoothers for Conditionally Linear Gaussian Models. IEEE J. Sel. Top. Signal Process. Fredrik Lindsten, Pete Bunch, Simo Särkkä, Thomas B. Schön, Simon J. Godsill
2016	J	`jnl`	Using Convolution to Estimate the Score Function for Intractable State-Transition Models. IEEE Signal Process. Lett. Liang Dai, Thomas B. Schön
2015	J	`jnl`	A New Structure Exploiting Derivation of Recursive Direct Weight Optimization. IEEE Trans. Autom. Control. Liang Dai, Thomas B. Schön
2015	J	`jnl`	Data-Efficient Learning of Feedback Policies from Image Pixels using Deep Dynamical Models. CoRR John-Alexander M. Assael, Niklas Wahlström, Thomas B. Schön, Marc Peter Deisenroth
2015	J	`jnl`	From Pixels to Torques: Policy Learning with Deep Dynamical Models. CoRR Niklas Wahlström, Thomas B. Schön, Marc Peter Deisenroth
2015	J	`jnl`	Indoor Positioning Using Ultrawideband and Inertial Measurements. IEEE Trans. Veh. Technol. Manon Kok, Jeroen D. Hol, Thomas B. Schön
2015	—	`conf`	Marginalizing Gaussian process hyperparameters using sequential Monte Carlo. CAMSAP Andreas Svensson, Johan Dahlin, Thomas B. Schön
2015	J	`jnl`	Modeling and interpolation of the ambient magnetic field by Gaussian processes. CoRR Arno Solin, Manon Kok, Niklas Wahlström, Thomas B. Schön, Simo Särkkä
2015	A*	`conf`	Nested Sequential Monte Carlo Methods. ICML Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön
2015	J	`jnl`	Nonlinear State Space Model Identification Using a Regularized Basis Function Expansion. CoRR Andreas Svensson, Thomas B. Schön, Arno Solin, Simo Särkkä
2015	—	`ch.`	Nonlinear System Identification Using Particle Filters. Encyclopedia of Systems and Control Thomas B. Schön
2015	—	`conf`	Nonlinear state space model identification using a regularized basis function expansion. CAMSAP Andreas Svensson, Thomas B. Schön, Arno Solin, Simo Särkkä
2015	J	`jnl`	Nonlinear state space smoothing using the conditional particle filter. CoRR Andreas Svensson, Thomas B. Schön, Manon Kok
2015	J	`jnl`	On the Exponential Convergence of the Kaczmarz Algorithm. IEEE Signal Process. Lett. Liang Dai, Thomas B. Schön
2015	J	`jnl`	Particle Metropolis-Hastings using gradient and Hessian information. Stat. Comput. Johan Dahlin, Fredrik Lindsten, Thomas B. Schön
2015	—	`conf`	Pseudo-marginal metropolis light transport. SIGGRAPH Asia Technical Briefs Joel Kronander, Thomas B. Schön, Jonas Unger
2014	J	`jnl`	A new structure exploiting derivation of recursive direct weight optimization. CoRR Liang Dai, Thomas B. Schön
2014	—	`conf`	Backward sequential Monte Carlo for marginal smoothing. SSP Joel Kronander, Thomas B. Schön, Johan Dahlin
2014	B	`conf`	Capacity estimation of two-dimensional channels using Sequential Monte Carlo. ITW Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön
2014	J	`jnl`	Capacity estimation of two-dimensional channels using Sequential Monte Carlo. CoRR Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön
2014	B	`conf`	Detecting and positioning overtaking vehicles using 1D optical flow. Intelligent Vehicles Symposium Daniel Hultqvist, Jacob Roll, Fredrik Svensson, Johan Dahlin, Thomas B. Schön
2014	—	`conf`	Identification of jump Markov linear models using particle filters. CDC Andreas Svensson, Thomas B. Schön, Fredrik Lindsten
2014	J	`jnl`	Learning deep dynamical models from image pixels. CoRR Niklas Wahlström, Thomas B. Schön, Marc Peter Deisenroth
2014	J	`jnl`	On the exponential convergence of the Kaczmarz algorithm. CoRR Liang Dai, Thomas B. Schön
2014	J	`jnl`	Particle gibbs with ancestor sampling. J. Mach. Learn. Res. Fredrik Lindsten, Michael I. Jordan, Thomas B. Schön
2014	—	`conf`	Real-time video based lighting using GPU raytracing. EUSIPCO Joel Kronander, Johan Dahlin, Daniel Jönsson, Manon Kok, Thomas B. Schön, Jonas Unger
2014	—	`conf`	Robust auxiliary particle filters using multiple importance sampling. SSP Joel Kronander, Thomas B. Schön
2014	—	`conf`	Sequential Monte Carlo for Graphical Models. NIPS Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön
2013	Misc	`conf`	Adaptive stopping for fast particle smoothing. ICASSP Ehsan Taghavi, Fredrik Lindsten, Lennart Svensson, Thomas B. Schön
2013	J	`jnl`	Backward Simulation Methods for Monte Carlo Statistical Inference. Found. Trends Mach. Learn. Fredrik Lindsten, Thomas B. Schön
2013	—	`conf`	Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC. NIPS Roger Frigola, Fredrik Lindsten, Thomas B. Schön, Carl E. Rasmussen
2013	J	`jnl`	Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC. CoRR Roger Frigola, Fredrik Lindsten, Thomas B. Schön, Carl E. Rasmussen
2013	J	`jnl`	Bayesian semiparametric Wiener system identification. Autom. Fredrik Lindsten, Thomas B. Schön, Michael I. Jordan
2013	J	`jnl`	Identification of Gaussian Process State-Space Models with Particle Stochastic Approximation EM. CoRR Roger Frigola, Fredrik Lindsten, Thomas B. Schön, Carl E. Rasmussen
2013	J	`jnl`	Identification of Hammerstein-Wiener models. Autom. Adrian Wills, Thomas B. Schön, Lennart Ljung, Brett Ninness
2013	Misc	`conf`	MEMS-based inertial navigation based on a magnetic field map. ICASSP Manon Kok, Niklas Wahlstrom, Thomas B. Schön, Fredrik Gustafsson
2013	Misc	`conf`	Modeling magnetic fields using Gaussian processes. ICASSP Niklas Wahlstrom, Manon Kok, Thomas B. Schön, Fredrik Gustafsson
2013	Misc	`conf`	Particle metropolis hastings using Langevin dynamics. ICASSP Johan Dahlin, Fredrik Lindsten, Thomas B. Schön
2013	Misc	`conf`	Rao-Blackwellized particle smoothers for mixed linear/nonlinear state-space models. ICASSP Fredrik Lindsten, Pete Bunch, Simon J. Godsill, Thomas B. Schön
2012	—	`conf`	Ancestor Sampling for Particle Gibbs. NIPS Fredrik Lindsten, Michael I. Jordan, Thomas B. Schön
2012	C	`conf`	Calibration of a magnetometer in combination with inertial sensors. FUSION Manon Kok, Jeroen D. Hol, Thomas B. Schön, Fredrik Gustafsson, Henk Luinge
2012	C	`conf`	On mixture reduction for multiple target tracking. FUSION Tohid Ardeshiri, Umut Orguner, Christian Lundquist, Thomas B. Schön
2012	Misc	`conf`	On the use of backward simulation in the particle Gibbs sampler. ICASSP Fredrik Lindsten, Thomas B. Schön
2011	J	`jnl`	A General Convergence Result for Particle Filtering. IEEE Trans. Signal Process. Xiao-Li Hu, Thomas B. Schön, Lennart Ljung
2011	C	`conf`	Bicycle tracking using ellipse extraction. FUSION Tohid Ardeshiri, Fredrik Larsson, Fredrik Gustafsson, Thomas B. Schön, Michael Felsberg
2011	J	`jnl`	Decentralized Particle Filter With Arbitrary State Decomposition. IEEE Trans. Signal Process. Tianshi Chen, Thomas B. Schön, Henrik Ohlsson, Lennart Ljung
2011	J	`jnl`	Joint ego-motion and road geometry estimation. Inf. Fusion Christian Lundquist, Thomas B. Schön
2011	J	`jnl`	Learning to close loops from range data. Int. J. Robotics Res. Karl Granström, Thomas B. Schön, Juan I. Nieto, Fabio T. Ramos
2011	J	`jnl`	System identification of nonlinear state-space models. Autom. Thomas B. Schön, Adrian Wills, Brett Ninness
2010	—	`conf`	Decentralization of particle filters using arbitrary state decomposition. CDC Tianshi Chen, Thomas B. Schön, Henrik Ohlsson, Lennart Ljung
2010	—	`conf`	Estimating state-space models in innovations form using the expectation maximisation algorithm. CDC Adrian Wills, Thomas B. Schön, Brett Ninness
2010	—	`conf`	Estimation of general nonlinear state-space systems. CDC Brett Ninness, Adrian Wills, Thomas B. Schön
2010	A*	`conf`	Geo-referencing for UAV navigation using environmental classification. ICRA Fredrik Lindsten, Jonas Callmer, Henrik Ohlsson, David Törnqvist, Thomas B. Schön, Fredrik Gustafsson
2010	—	`conf`	Identification of mixed linear/nonlinear state-space models. CDC Fredrik Lindsten, Thomas B. Schön
2010	A	`conf`	Learning to close the loop from 3D point clouds. IROS Karl Granström, Thomas B. Schön
2010	J	`jnl`	Modeling and Calibration of Inertial and Vision Sensors. Int. J. Robotics Res. Jeroen D. Hol, Thomas B. Schön, Fredrik Gustafsson
2010	B	`conf`	Torchlight Navigation. ICPR Michael Felsberg, Fredrik Larsson, Han Wang, Anders Ynnerman, Thomas B. Schön
2009	—	`conf`	Experimental comparison of observers for tool position estimation of industrial robots. CDC Robert Henriksson, Mikael Norrlöf, Stig Moberg, Erik Wernholt, Thomas B. Schön
2009	J	`jnl`	Particle Filter SLAM with High Dimensional Vehicle Model. J. Intell. Robotic Syst. David Törnqvist, Thomas B. Schön, Rickard Karlsson, Fredrik Gustafsson
2008	J	`jnl`	A Basic Convergence Result for Particle Filtering. IEEE Trans. Signal Process. Xiao-Li Hu, Thomas B. Schön, Lennart Ljung
2008	C	`conf`	A new algorithm for calibrating a combined camera and IMU sensor unit. ICARCV Jeroen D. Hol, Thomas B. Schön, Fredrik Gustafsson
2008	C	`conf`	Detecting spurious features using parity space. ICARCV David Törnqvist, Thomas B. Schön, Fredrik Gustafsson
2008	A*	`conf`	Relative pose calibration of a spherical camera and an IMU. ISMAR Jeroen D. Hol, Thomas B. Schön, Fredrik Gustafsson
2007	C	`conf`	A framework for simultaneous localization and mapping utilizing model structure. FUSION Thomas B. Schön, Rickard Karlsson, David Törnqvist, Fredrik Gustafsson
2007	—	`conf`	A robust particle filter for state estimation - with convergence results. CDC Xiao-Li Hu, Thomas B. Schön, Lennart Ljung
2007	—	`conf`	Fast particle filters for multi-rate sensors. EUSIPCO Thomas B. Schön, David Törnqvist, Fredrik Gustafsson
2007	J	`jnl`	On parameter and state estimation for linear differential-algebraic equations. Autom. Markus Gerdin, Thomas B. Schön, S. Torkel Glad, Fredrik Gustafsson, Lennart Ljung
2007	J	`jnl`	Robust real-time tracking by fusing measurements from inertial and vision sensors. J. Real Time Image Process. Jeroen D. Hol, Thomas B. Schön, Henk Luinge, Per J. Slycke, Fredrik Gustafsson
2006	—	`—`	Estimation of Nonlinear Dynamic Systems: Theory and Applications. Thomas B. Schön
2006	C	`conf`	Sensor Fusion for Augmented Reality. FUSION Jeroen D. Hol, Thomas B. Schön, Fredrik Gustafsson, Per J. Slycke
2005	J	`jnl`	Complexity analysis of the marginalized particle filter. IEEE Trans. Signal Process. Rickard Karlsson, Thomas B. Schön, Fredrik Gustafsson
2005	J	`jnl`	Marginalized particle filters for mixed linear/nonlinear state-space models. IEEE Trans. Signal Process. Thomas B. Schön, Fredrik Gustafsson, Per-Johan Nordlund
2003	—	`conf`	A modeling and filtering framework for linear differential-algebraic equations. CDC Thomas B. Schön, Markus Gerdin, S. Torkel Glad, Fredrik Gustafsson
2003	—	`conf`	A note on state estimation as a convex optimization problem. ICASSP (6) Thomas B. Schön, Fredrik Gustafsson, Anders Hansson