default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDThomas B. Schön
Person information
- affiliation: Uppsala University, Sweden
- affiliation (former): Linköping University, Department of Electrical Engineering
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j59]Gianluigi Pillonetto, Aleksandr Y. Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön:
Deep networks for system identification: A survey. Autom. 171: 111907 (2025)- 2024
- [j58]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: 796-801 (2024) - [j57]Dominik Baumann, Thomas B. Schön:
Safe Reinforcement Learning in Uncertain Contexts. IEEE Trans. Robotics 40: 1828-1841 (2024) - [c86]Zheng Zhao, Sebastian Mair, Thomas B. Schön, Jens Sjölund:
On Feynman-Kac training of partial Bayesian neural networks. AISTATS 2024: 3223-3231 - [c85]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:
NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge. CVPR Workshops 2024: 6632-6640 - [c84]Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön:
Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models. CVPR Workshops 2024: 6641-6651 - [c83]Bernhard Wullt, Per Mattsson, Thomas B. Schön, Mikael Norrlöf:
A Model Predictive Control Approach to Motion Planning in Dynamic Environments. ECC 2024: 3247-3254 - [c82]Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön:
Controlling Vision-Language Models for Multi-Task Image Restoration. ICLR 2024 - [c81]Daniel Gedon, Antônio H. Ribeiro, Thomas B. Schön:
No Double Descent in Principal Component Regression: A High-Dimensional Analysis. ICML 2024 - [c80]Niklas Gunnarsson, Jens Sjölund, Peter Kimstrand, Thomas B. Schön:
Online Learning in Motion Modeling for Intra-interventional Image Sequences. MICCAI (2) 2024: 706-716 - [i100]Dominik Baumann, Thomas B. Schön:
Safe reinforcement learning in uncertain contexts. CoRR abs/2401.05876 (2024) - [i99]Ruoqi Zhang, Ziwei Luo, Jens Sjölund, Thomas B. Schön, Per Mattsson:
Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning. CoRR abs/2402.04080 (2024) - [i98]Per Mattsson, Fabio Bonassi, Valentina Breschi, Thomas B. Schön:
On the equivalence of direct and indirect data-driven predictive control approaches. CoRR abs/2403.05860 (2024) - [i97]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 abs/2404.09732 (2024) - [i96]Adrien Corenflos, Zheng Zhao, Simo Särkkä, Jens Sjölund, Thomas B. Schön:
Conditioning diffusion models by explicit forward-backward bridging. CoRR abs/2405.13794 (2024) - [i95]Stijn van Esch, Fabio Bonassi, Thomas B. Schön:
Accounts of using the Tustin-Net architecture on a rotary inverted pendulum. CoRR abs/2408.12266 (2024) - [i94]Abdullah Tokmak, Thomas B. Schön, Dominik Baumann:
PACSBO: Probably approximately correct safe Bayesian optimization. CoRR abs/2409.01163 (2024) - [i93]Gabriel Y. Arteaga, Thomas B. Schön, Nicolas Pielawski:
Hallucination Detection in LLMs: Fast and Memory-Efficient Finetuned Models. CoRR abs/2409.02976 (2024) - [i92]Zheng Zhao, Ziwei Luo, Jens Sjölund, Thomas B. Schön:
Conditional sampling within generative diffusion models. CoRR abs/2409.09650 (2024) - [i91]Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön:
Taming Diffusion Models for Image Restoration: A Review. CoRR abs/2409.10353 (2024) - [i90]Niklas Gunnarsson, Jens Sjölund, Peter Kimstrand, Thomas B. Schön:
Online learning in motion modeling for intra-interventional image sequences. CoRR abs/2410.11491 (2024) - [i89]Antônio H. Ribeiro, Thomas B. Schön, Dave Zahariah, Francis Bach:
Efficient Optimization Algorithms for Linear Adversarial Training. CoRR abs/2410.12677 (2024) - 2023
- [j56]Tim Martin, Thomas B. Schön, Frank Allgöwer:
Guarantees for data-driven control of nonlinear systems using semidefinite programming: A survey. Annu. Rev. Control. 56: 100911 (2023) - [j55]Adrian G. Wills, Thomas B. Schön:
Sequential Monte Carlo: A Unified Review. Annu. Rev. Control. Robotics Auton. Syst. 6: 159-182 (2023) - [j54]Jarrad Courts, Adrian G. Wills, Thomas B. Schön, Brett Ninness:
Variational system identification for nonlinear state-space models. Autom. 147: 110687 (2023) - [j53]Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön:
Invertible Kernel PCA With Random Fourier Features. IEEE Signal Process. Lett. 30: 563-567 (2023) - [j52]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): 5877-5889 (2023) - [j51]Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön:
Variational Elliptical Processes. Trans. Mach. Learn. Res. 2023 (2023) - [j50]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) - [j49]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) - [j48]Zheng Zhao, Simo Särkkä, Jens Sjölund, Thomas B. Schön:
Probabilistic Estimation of Instantaneous Frequencies of Chirp Signals. IEEE Trans. Signal Process. 71: 461-476 (2023) - [j47]Antônio H. Ribeiro, Thomas B. Schön:
Overparameterized Linear Regression Under Adversarial Attacks. IEEE Trans. Signal Process. 71: 601-614 (2023) - [c79]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: 1346-1372 - [c78]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: 1643-1659 - [c77]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: 1680-1691 - [c76]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:
NTIRE 2023 Image Shadow Removal Challenge Report. CVPR Workshops 2023: 1788-1807 - [c75]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: 1808-1825 - [c74]Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön:
Image Restoration with Mean-Reverting Stochastic Differential Equations. ICML 2023: 23045-23066 - [c73]Antônio H. Ribeiro, Dave Zachariah, Francis Bach, Thomas B. Schön:
Regularization properties of adversarially-trained linear regression. NeurIPS 2023 - [i88]Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön:
Image Restoration with Mean-Reverting Stochastic Differential Equations. CoRR abs/2301.11699 (2023) - [i87]Gianluigi Pillonetto, Aleksandr Y. Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön:
Deep networks for system identification: a Survey. CoRR abs/2301.12832 (2023) - [i86]Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts? CoRR abs/2302.03679 (2023) - [i85]Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön:
Invertible Kernel PCA with Random Fourier Features. CoRR abs/2303.05043 (2023) - [i84]Dominik Baumann, Thomas B. Schön:
On the trade-off between event-based and periodic state estimation under bandwidth constraints. CoRR abs/2304.00559 (2023) - [i83]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 abs/2304.08291 (2023) - [i82]Manon Kok, Arno Solin, Thomas B. Schön:
Rao-Blackwellized Particle Smoothing for Simultaneous Localization and Mapping. CoRR abs/2306.03953 (2023) - [i81]Tim Martin, Thomas B. Schön, Frank Allgöwer:
Guarantees for data-driven control of nonlinear systems using semidefinite programming: A survey. CoRR abs/2306.16042 (2023) - [i80]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 abs/2309.16335 (2023) - [i79]Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön:
Controlling Vision-Language Models for Universal Image Restoration. CoRR abs/2310.01018 (2023) - [i78]Antônio H. Ribeiro, Dave Zachariah, Francis Bach, Thomas B. Schön:
Regularization properties of adversarially-trained linear regression. CoRR abs/2310.10807 (2023) - [i77]Dominik Baumann, Erfaun Noorani, James Price, Ole Peters, Colm Connaughton, Thomas B. Schön:
Non-ergodicity in reinforcement learning: robustness via ergodicity transformations. CoRR abs/2310.11335 (2023) - [i76]Zheng Zhao, Sebastian Mair, Thomas B. Schön, Jens Sjölund:
On Feynman-Kac training of partial Bayesian neural networks. CoRR abs/2310.19608 (2023) - [i75]Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön:
Variational Elliptical Processes. CoRR abs/2311.12566 (2023) - [i74]Fabio Bonassi, Carl R. Andersson, Per Mattsson, Thomas B. Schön:
Structured state-space models are deep Wiener models. CoRR abs/2312.06211 (2023) - 2022
- [j46]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: 1196-1201 (2022) - [j45]Philipp Pilar, Carl Jidling, Thomas B. Schön, Niklas Wahlström:
Incorporating Sum Constraints into Multitask Gaussian Processes. Trans. Mach. Learn. Res. 2022 (2022) - [j44]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: 3676-3692 (2022) - [j43]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): 2602-2614 (2022) - [c72]Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Learning Proposals for Practical Energy-Based Regression. AISTATS 2022: 4685-4704 - [c71]Niklas Gunnarsson, Jens Sjölund, Peter Kimstrand, Thomas B. Schön:
Unsupervised dynamic modeling of medical image transformations. FUSION 2022: 1-7 - [i73]Philipp Pilar, Carl Jidling, Thomas B. Schön, Niklas Wahlström:
Incorporating Sum Constraints into Multitask Gaussian Processes. CoRR abs/2202.01793 (2022) - [i72]Antônio H. Ribeiro, Thomas B. Schön:
Overparameterized Linear Regression under Adversarial Attacks. CoRR abs/2204.06274 (2022) - [i71]Antônio H. Ribeiro, Dave Zachariah, Thomas B. Schön:
Surprises in adversarially-trained linear regression. CoRR abs/2205.12695 (2022) - [i70]Tim Martin, Thomas B. Schön, Frank Allgöwer:
Gaussian inference for data-driven state-feedback design of nonlinear systems. CoRR abs/2211.05639 (2022) - [i69]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 abs/2212.13890 (2022) - 2021
- [j42]Adrian G. Wills, Thomas B. Schön:
Stochastic quasi-Newton with line-search regularisation. Autom. 127: 109503 (2021) - [j41]Jarrad Courts, Adrian G. Wills, Thomas B. Schön:
Gaussian Variational State Estimation for Nonlinear State-Space Models. IEEE Trans. Signal Process. 69: 5979-5993 (2021) - [c70]Mina Ferizbegovic, Håkan Hjalmarsson, Per Mattsson, Thomas B. Schön:
Willems' fundamental lemma based on second-order moments. CDC 2021: 396-401 - [c69]Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön:
First Steps Towards Self-Supervised Pretraining of the 12-Lead ECG. CinC 2021: 1-4 - [c68]Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Accurate 3D Object Detection Using Energy-Based Models. CVPR Workshops 2021: 2855-2864 - [c67]Antônio H. Ribeiro, Thomas B. Schön:
How Convolutional Neural Networks Deal with Aliasing. ICASSP 2021: 2755-2759 - [d6]Antônio H. Ribeiro, Gabriela M. M. Paixão, Emilly M. Lima, Manoel Horta Ribeiro, Marcelo M. Pinto Filho, Paulo R. Gomes, Derick M. de Oliveira, Wagner Meira Jr., Thomas B. Schön, Antônio Luiz P. Ribeiro:
CODE-15%: a large scale annotated dataset of 12-lead ECGs. Zenodo, 2021
- [d5]Antônio Luiz P. Ribeiro, Antônio H. Ribeiro, Gabriela M. M. Paixão, Emilly M. Lima, Manoel Horta Ribeiro, Marcelo M. Pinto Filho, Paulo R. Gomes, Derick M. de Oliveira, Wagner Meira Jr., Thomas B. Schön, Ester C. Sabino:
Sami-Trop: 12-lead ECG traces with age and mortality annotations. Zenodo, 2021 - [i68]Antônio H. Ribeiro, Thomas B. Schön:
How Convolutional Neural Networks Deal with Aliasing. CoRR abs/2102.07757 (2021) - [i67]Filip de Roos, Carl Jidling, Adrian Wills, Thomas B. Schön, Philipp Hennig:
A Probabilistically Motivated Learning Rate Adaptation for Stochastic Optimization. CoRR abs/2102.10880 (2021) - [i66]Niklas Gunnarsson, Jens Sjölund, Thomas B. Schön:
Latent linear dynamics in spatiotemporal medical data. CoRR abs/2103.00930 (2021) - [i65]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 abs/2103.08782 (2021) - [i64]Carl R. Andersson, Niklas Wahlström, Thomas B. Schön:
Learning deep autoregressive models for hierarchical data. CoRR abs/2104.13853 (2021) - [i63]Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Learning Proposals for Practical Energy-Based Regression. CoRR abs/2110.11948 (2021) - [i62]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 abs/2111.01409 (2021) - 2020
- [j40]Antônio H. Ribeiro, Koen Tiels, Jack Umenberger, Thomas B. Schön, Luis Antonio Aguirre:
On the smoothness of nonlinear system identification. Autom. 121: 109158 (2020) - [j39]Mina Ferizbegovic, Jack Umenberger, Håkan Hjalmarsson, Thomas B. Schön:
Learning Robust LQ-Controllers Using Application Oriented Exploration. IEEE Control. Syst. Lett. 4(1): 19-24 (2020) - [j38]Jack Umenberger, Thomas B. Schön:
Nonlinear Input Design as Optimal Control of a Hamiltonian System. IEEE Control. Syst. Lett. 4(1): 85-90 (2020) - [j37]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): E26-E28 (2020) - [c66]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: 2370-2380 - [c65]Fredrik Gustafsson, Martin Danelljan, Radu Timofte, Thomas B. Schön:
How to Train Your Energy-Based Model for Regression. BMVC 2020 - [c64]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: 1-4 - [c63]Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision. CVPR Workshops 2020: 1289-1298 - [c62]Fredrik K. Gustafsson, Martin Danelljan, Goutam Bhat, Thomas B. Schön:
Energy-Based Models for Deep Probabilistic Regression. ECCV (20) 2020: 325-343 - [c61]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:
The Eighth Visual Object Tracking VOT2020 Challenge Results. ECCV Workshops (5) 2020: 547-601 - [c60]Jan Kudlicka, Lawrence M. Murray, Thomas B. Schön, Fredrik Lindsten:
Particle Filter with Rejection Control and Unbiased Estimator of the Marginal Likelihood. ICASSP 2020: 5860-5864 - [c59]Jack Umenberger, Thomas B. Schön:
Optimistic robust linear quadratic dual control. L4DC 2020: 550-560 - [c58]Niklas Gunnarsson, Jens Sjölund, Thomas B. Schön:
Learning a Deformable Registration Pyramid. MICCAI (Challenges) 2020: 80-86 - [d4]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:
Annotated 12 lead ECG dataset. Version v1.0. Zenodo, 2020 [all versions] - [d3]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:
Annotated 12-lead ECG dataset. Version v1.0.1. Zenodo, 2020 [all versions] - [d2]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:
Annotated 12-lead ECG dataset. Version v1.0.2. Zenodo, 2020 [all versions] - [d1]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:
CODE-test: An annotated 12-lead ECG dataset. Version v1.0.3. Zenodo, 2020 [all versions] - [i61]Johannes N. Hendriks, Carl Jidling, Adrian Wills, Thomas B. Schön:
Linearly Constrained Neural Networks. CoRR abs/2002.01600 (2020) - [i60]Jarrad Courts, Christopher Renton, Thomas B. Schön, Adrian Wills:
Constructing a variational family for nonlinear state-space models. CoRR abs/2002.02620 (2020) - [i59]Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön:
The Elliptical Processes: a New Family of Flexible Stochastic Processes. CoRR abs/2003.07201 (2020) - [i58]Niklas Gunnarsson, Jens Sjölund, Thomas B. Schön:
Registration by tracking for sequential 2D MRI. CoRR abs/2003.10819 (2020) - [i57]