Thomas B. Schön

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 163

Top Venues

Publications

Ruoqi Zhang, Ziwei Luo, Jens Sjölund, Thomas B. Schön, Per Mattsson
Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning. CoRR (2024)
Adrien Corenflos, Zheng Zhao, Simo Särkkä, Jens Sjölund, Thomas B. Schön
Conditioning diffusion models by explicit forward-backward bridging. CoRR (2024)
Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön
Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models. CoRR (2024)
Per Mattsson, Fabio Bonassi, Valentina Breschi, Thomas B. Schön
On the Equivalence of Direct and Indirect Data-Driven Predictive Control Approaches. IEEE Control. Syst. Lett. 8 (2024)
Zheng Zhao, Sebastian Mair, Thomas B. Schön, Jens Sjölund
On Feynman-Kac training of partial Bayesian neural networks. AISTATS (2024)
Per Mattsson, Fabio Bonassi, Valentina Breschi, Thomas B. Schön
On the equivalence of direct and indirect data-driven predictive control approaches. CoRR (2024)
Dominik Baumann, Thomas B. Schön
Safe Reinforcement Learning in Uncertain Contexts. IEEE Trans. Robotics 40 (2024)
Bernhard Wullt, Per Mattsson, Thomas B. Schön, Mikael Norrlöf
A Model Predictive Control Approach to Motion Planning in Dynamic Environments. ECC (2024)
Dominik Baumann, Thomas B. Schön
Safe reinforcement learning in uncertain contexts. CoRR (2024)
Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön
Controlling Vision-Language Models for Multi-Task Image Restoration. ICLR (2024)
Fabio Bonassi, Carl R. Andersson, Per Mattsson, Thomas B. Schön
Structured state-space models are deep Wiener models. CoRR (2023)
Dominik Baumann, Thomas B. Schön
On the trade-off between event-based and periodic state estimation under bandwidth constraints. CoRR (2023)
Antônio H. Ribeiro, Dave Zachariah, Francis Bach, Thomas B. Schön
Regularization properties of adversarially-trained linear regression. NeurIPS (2023)
Li-Hui Geng, Adrian G. Wills, Brett Ninness, Thomas B. Schön
Smoothed State Estimation via Efficient Solution of Linear Equations. IEEE Trans. Autom. Control. 68 (10) (2023)
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
NTIRE 2023 Image Shadow Removal Challenge Report. CVPR Workshops (2023)
Dominik Baumann, Erfaun Noorani, James Price, Ole Peters, Colm Connaughton, Thomas B. Schön
Non-ergodicity in reinforcement learning: robustness via ergodicity transformations. CoRR (2023)
Tim Martin, Thomas B. Schön, Frank Allgöwer
Guarantees for data-driven control of nonlinear systems using semidefinite programming: A survey. CoRR (2023)
Zheng Zhao, Simo Särkkä, Jens Sjölund, Thomas B. Schön
Probabilistic Estimation of Instantaneous Frequencies of Chirp Signals. IEEE Trans. Signal Process. 71 (2023)
Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön
Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models. CVPR Workshops (2023)
Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön
Controlling Vision-Language Models for Universal Image Restoration. CoRR (2023)
Theogene Habineza, Antônio H. Ribeiro, Daniel Gedon, Joachim A. Behar, Antônio Luiz Pinho Ribeiro, Thomas B. Schön
End-to-end Risk Prediction of Atrial Fibrillation from the 12-Lead ECG by Deep Neural Networks. CoRR (2023)
Muhammad Osama, Dave Zachariah, Peter Stoica, Thomas B. Schön
Online Learning for Prediction via Covariance Fitting: Computation, Performance and Robustness. Trans. Mach. Learn. Res. 2023 (2023)
Antônio H. Ribeiro, Dave Zachariah, Francis Bach, Thomas B. Schön
Regularization properties of adversarially-trained linear regression. CoRR (2023)
Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön
Image Restoration with Mean-Reverting Stochastic Differential Equations. CoRR (2023)
Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön
Variational Elliptical Processes. Trans. Mach. Learn. Res. 2023 (2023)
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
NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report. CVPR Workshops (2023)
Zheng Zhao, Sebastian Mair, Thomas B. Schön, Jens Sjölund
On Feynman-Kac training of partial Bayesian neural networks. CoRR (2023)
Gianluigi Pillonetto, Aleksandr Y. Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön
Deep networks for system identification: a Survey. CoRR (2023)
Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts? Trans. Mach. Learn. Res. 2023 (2023)
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
Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report. CVPR Workshops (2023)
Manon Kok, Arno Solin, Thomas B. Schön
Rao-Blackwellized Particle Smoothing for Simultaneous Localization and Mapping. CoRR (2023)
Antônio H. Ribeiro, Thomas B. Schön
Overparameterized Linear Regression Under Adversarial Attacks. IEEE Trans. Signal Process. 71 (2023)
Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts? CoRR (2023)
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
NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops (2023)
Tim Martin, Thomas B. Schön, Frank Allgöwer
Guarantees for data-driven control of nonlinear systems using semidefinite programming: A survey. Annu. Rev. Control. 56 (2023)
Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön
Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models. CoRR (2023)
Adrian G. Wills, Thomas B. Schön
Sequential Monte Carlo: A Unified Review. Annu. Rev. Control. Robotics Auton. Syst. 6 (2023)
Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön
Invertible Kernel PCA with Random Fourier Features. CoRR (2023)
Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön
Image Restoration with Mean-Reverting Stochastic Differential Equations. ICML (2023)
Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön
Variational Elliptical Processes. CoRR (2023)
Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön
Invertible Kernel PCA With Random Fourier Features. IEEE Signal Process. Lett. 30 (2023)
Jarrad Courts, Adrian G. Wills, Thomas B. Schön, Brett Ninness
Variational system identification for nonlinear state-space models. Autom. 147 (2023)
Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
Learning Proposals for Practical Energy-Based Regression. AISTATS (2022)
Philipp Pilar, Carl Jidling, Thomas B. Schön, Niklas Wahlström
Incorporating Sum Constraints into Multitask Gaussian Processes. CoRR (2022)
Conor Rosato, Lee Devlin, Vincent Béraud, Paul R. Horridge, Thomas B. Schön, Simon Maskell
Efficient Learning of the Parameters of Non-Linear Models Using Differentiable Resampling in Particle Filters. IEEE Trans. Signal Process. 70 (2022)
Philipp Von Bachmann, Daniel Gedon, Fredrik K. Gustafsson, Antônio H. Ribeiro, Erik Lampa, Stefan Gustafsson, Johan Sundström, Thomas B. Schön
ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods. CoRR (2022)
Antônio H. Ribeiro, Thomas B. Schön
Overparameterized Linear Regression under Adversarial Attacks. CoRR (2022)
Niklas Gunnarsson, Jens Sjölund, Peter Kimstrand, Thomas B. Schön
Unsupervised dynamic modeling of medical image transformations. FUSION (2022)
Philipp Pilar, Carl Jidling, Thomas B. Schön, Niklas Wahlström
Incorporating Sum Constraints into Multitask Gaussian Processes. Trans. Mach. Learn. Res. 2022 (2022)
Johannes N. Hendriks, James R. Z. Holdsworth, Adrian G. Wills, Thomas B. Schön, Brett Ninness
Data to Controller for Nonlinear Systems: An Approximate Solution. IEEE Control. Syst. Lett. 6 (2022)
Daniel Jönsson, Joel Kronander, Jonas Unger, Thomas B. Schön, Magnus Wrenninge
Direct Transmittance Estimation in Heterogeneous Participating Media Using Approximated Taylor Expansions. IEEE Trans. Vis. Comput. Graph. 28 (7) (2022)
Tim Martin, Thomas B. Schön, Frank Allgöwer
Gaussian inference for data-driven state-feedback design of nonlinear systems. CoRR (2022)
Antônio H. Ribeiro, Dave Zachariah, Thomas B. Schön
Surprises in adversarially-trained linear regression. CoRR (2022)
Jarrad Courts, Adrian G. Wills, Thomas B. Schön
Gaussian Variational State Estimation for Nonlinear State-Space Models. IEEE Trans. Signal Process. 69 (2021)
Mina Ferizbegovic, Håkan Hjalmarsson, Per Mattsson, Thomas B. Schön
Willems' fundamental lemma based on second-order moments. CDC (2021)
Filip de Roos, Carl Jidling, Adrian Wills, Thomas B. Schön, Philipp Hennig
A Probabilistically Motivated Learning Rate Adaptation for Stochastic Optimization. CoRR (2021)
Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
Accurate 3D Object Detection Using Energy-Based Models. CVPR Workshops (2021)
Niklas Gunnarsson, Jens Sjölund, Thomas B. Schön
Latent linear dynamics in spatiotemporal medical data. CoRR (2021)
Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön
First Steps Towards Self-Supervised Pretraining of the 12-Lead ECG. CinC (2021)
Antônio H. Ribeiro, Thomas B. Schön
How Convolutional Neural Networks Deal with Aliasing. ICASSP (2021)
Conor Rosato, Paul R. Horridge, Thomas B. Schön, Simon Maskell
Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters. CoRR (2021)
Antônio H. Ribeiro, Thomas B. Schön
How Convolutional Neural Networks Deal with Aliasing. CoRR (2021)
Adrian G. Wills, Thomas B. Schön
Stochastic quasi-Newton with line-search regularisation. Autom. 127 (2021)
Carl R. Andersson, Niklas Wahlström, Thomas B. Schön
Learning deep autoregressive models for hierarchical data. CoRR (2021)
Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
Learning Proposals for Practical Energy-Based Regression. CoRR (2021)
Johannes N. Hendriks, James R. Z. Holdsworth, Adrian G. Wills, Thomas B. Schön, Brett Ninness
Data to Controller for Nonlinear Systems: An Approximate Solution. CoRR (2021)
Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision. CVPR Workshops (2020)
Antônio H. Ribeiro, Koen Tiels, Luis Antonio Aguirre, Thomas B. Schön
Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness. AISTATS (2020)
Antônio H. Ribeiro, Koen Tiels, Jack Umenberger, Thomas B. Schön, Luis Antonio Aguirre
On the smoothness of nonlinear system identification. Autom. 121 (2020)
Johannes N. Hendriks, Carl Jidling, Adrian Wills, Thomas B. Schön
Linearly Constrained Neural Networks. CoRR (2020)
Antônio H. Ribeiro, Johannes N. Hendriks, Adrian G. Wills, Thomas B. Schön
Beyond Occam's Razor in System Identification: Double-Descent when Modeling Dynamics. CoRR (2020)
Niklas Gunnarsson, Jens Sjölund, Thomas B. Schön
Learning a Deformable Registration Pyramid. MICCAI (Challenges) (2020)
Jack Umenberger, Thomas B. Schön
Optimistic robust linear quadratic dual control. L4DC (2020)
Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
Accurate 3D Object Detection using Energy-Based Models. CoRR (2020)
Jan Kudlicka, Lawrence M. Murray, Thomas B. Schön, Fredrik Lindsten
Particle Filter with Rejection Control and Unbiased Estimator of the Marginal Likelihood. ICASSP (2020)
Daniel Gedon, Niklas Wahlström, Thomas B. Schön, Lennart Ljung
Deep State Space Models for Nonlinear System Identification. CoRR (2020)
Jarrad Courts, Christopher Renton, Thomas B. Schön, Adrian Wills
Constructing a variational family for nonlinear state-space models. CoRR (2020)
Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön
The Elliptical Processes: a New Family of Flexible Stochastic Processes. CoRR (2020)
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 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
The Eighth Visual Object Tracking VOT2020 Challenge Results. ECCV Workshops (5) (2020)
Antônio H. Ribeiro, Daniel Gedon, Daniel Martins Teixeira, Manoel Horta Ribeiro, Antônio Luiz Pinho Ribeiro, Thomas B. Schön, Wagner Meira Jr.
Automatic 12-lead ECG Classification Using a Convolutional Network Ensemble. CinC (2020)
Fredrik Gustafsson, Martin Danelljan, Radu Timofte, Thomas B. Schön
How to Train Your Energy-Based Model for Regression. BMVC (2020)
Jack Umenberger, Thomas B. Schön
Nonlinear Input Design as Optimal Control of a Hamiltonian System. IEEE Control. Syst. Lett. 4 (1) (2020)
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
The effect of interventions on COVID-19. Nat. 588 (7839) (2020)
Niklas Gunnarsson, Jens Sjölund, Thomas B. Schön
Registration by tracking for sequential 2D MRI. CoRR (2020)
Johannes N. Hendriks, Fredrik K. Gustafsson, Antônio H. Ribeiro, Adrian G. Wills, Thomas B. Schön
Deep Energy-Based NARX Models. CoRR (2020)
Fredrik K. Gustafsson, Martin Danelljan, Goutam Bhat, Thomas B. Schön
Energy-Based Models for Deep Probabilistic Regression. ECCV (20) (2020)
Mina Ferizbegovic, Jack Umenberger, Håkan Hjalmarsson, Thomas B. Schön
Learning Robust LQ-Controllers Using Application Oriented Exploration. IEEE Control. Syst. Lett. 4 (1) (2020)
Jarrad Courts, Adrian Wills, Thomas B. Schön, Brett Ninness
Variational Nonlinear System Identification. CoRR (2020)
Fredrik K. Gustafsson, Martin Danelljan, Radu Timofte, Thomas B. Schön
How to Train Your Energy-Based Model for Regression. CoRR (2020)
Jarrad Courts, Johannes N. Hendriks, Adrian Wills, Thomas B. Schön, Brett Ninness
Variational State and Parameter Estimation. CoRR (2020)
Hildo Bijl, Thomas B. Schön
Optimal controller/observer gains of discounted-cost LQG systems. Autom. 101 (2019)
Muhammad Osama, Dave Zachariah, Thomas B. Schön
Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding. CoRR (2019)
Andreas Lindholm, Dave Zachariah, Petre Stoica, Thomas B. Schön
Data Consistency Approach to Model Validation. IEEE Access 7 (2019)
Adrian Wills, Thomas B. Schön
Stochastic quasi-Newton with line-search regularization. CoRR (2019)
Jack Umenberger, Thomas B. Schön, Fredrik Lindsten
Bayesian identification of state-space models via adaptive thermostats. CDC (2019)
Jan Kudlicka, Lawrence M. Murray, Fredrik Ronquist, Thomas B. Schön
Probabilistic Programming for Birth-Death Models of Evolution Using an Alive Particle Filter with Delayed Sampling. UAI (2019)
Jack Umenberger, Thomas B. Schön
Optimistic robust linear quadratic dual control. CoRR (2019)
Muhammad Osama, Dave Zachariah, Thomas B. Schön
Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding. ICML (2019)
Manon Kok, Thomas B. Schön
A Fast and Robust Algorithm for Orientation Estimation Using Inertial Sensors. IEEE Signal Process. Lett. 26 (11) (2019)
Antônio H. Ribeiro, Koen Tiels, Luis Antonio Aguirre, Thomas B. Schön
The trade-off between long-term memory and smoothness for recurrent networks. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

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Thomas B. Schön