Schön, Thomas B.

44 publications

AISTATS 2025 Conditioning Diffusion Models by Explicit Forward-Backward Bridging Adrien Corenflos, Zheng Zhao, Thomas B. Schön, Simo Särkkä, Jens Sjölund

AISTATS 2025 Efficient Optimization Algorithms for Linear Adversarial Training Antonio H. Ribeiro, Thomas B. Schön, Dave Zachariah, Francis Bach

NeurIPS 2025 Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization Antonio H. Ribeiro, David Vävinggren, Dave Zachariah, Thomas B. Schön, Francis Bach

TMLR 2025 Reinforcement Learning with Non-Ergodic Reward Increments: Robustness via Ergodicity Transformations Dominik Baumann, Erfaun Noorani, James Price, Ole Peters, Colm Connaughton, Thomas B. Schön

AISTATS 2025 Safe Exploration in Reproducing Kernel Hilbert Spaces Abdullah Tokmak, Kiran G. Krishnan, Thomas B. Schön, Dominik Baumann

ICLR 2024 Controlling Vision-Language Models for Multi-Task Image Restoration Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön

NeurIPS 2024 Entropy-Regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning Ruoqi Zhang, Ziwei Luo, Jens Sjölund, Thomas B. Schön, Per Mattsson

CVPRW 2024 NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge 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

ICML 2024 No Double Descent in Principal Component Regression: A High-Dimensional Analysis Daniel Gedon, Antonio H. Ribeiro, Thomas B. Schön

ICMLW 2024 Non-Ergodicity in Reinforcement Learning: Robustness via Ergodicity Transformations Dominik Baumann, Erfaun Noorani, James Price, Ole Peters, Colm Connaughton, Thomas B. Schön

AISTATS 2024 On Feynman-Kac Training of Partial Bayesian Neural Networks Zheng Zhao, Sebastian Mair, Thomas B. Schön, Jens Sjölund

CVPRW 2024 Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön

ICMLW 2024 Safe Exploration in Reproducing Kernel Hilbert Spaces Abdullah Tokmak, Kiran G. Krishnan, Thomas B. Schön, Dominik Baumann

UAI 2024 Uncertainty Estimation with Recursive Feature Machines Daniel Gedon, Amirhesam Abedsoltan, Thomas B. Schön, Mikhail Belkin

TMLR 2023 How Reliable Is Your Regression Model's Uncertainty Under Real-World Distribution Shifts? Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön

ICML 2023 Image Restoration with Mean-Reverting Stochastic Differential Equations Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön

CVPRW 2023 Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report Marcos V. Conde, Manuel Kolmet, Tim Seizinger, Tom E. Bishop, Radu Timofte, Xiangyu Kong, Dafeng Zhang, Jinlong Wu, Fan Wang, Juewen Peng, Zhiyu Pan, Chengxin Liu, Xianrui Luo, Huiqiang Sun, Liao Shen, Zhiguo Cao, Ke Xian, Chaowei Liu, Zigeng Chen, Xingyi Yang, Songhua Liu, Yongcheng Jing, Michael Bi Mi, Xinchao Wang, Zhihao Yang, Wenyi Lian, Siyuan Lai, Haichuan Zhang, Trung Hoang, Amirsaeed Yazdani, Vishal Monga, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Yuxuan Zhao, Baoliang Chen, Yiqing Xu, JiXiangNiu

CVPRW 2023 NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Ming Cheng, Haoyu Ma, Qiufang Ma, Xiaopeng Sun, Shijie Zhao, Xuhan Sheng, Yukang Ding, Ming Sun, Xing Wen, Dafeng Zhang, Jia Li, Fan Wang, Zheng Xie, Zongyao He, Zidian Qiu, Zilin Pan, Zhihao Zhan, Xingyuan Xian, Zhi Jin, Yuanbo Zhou, Wei Deng, Ruofeng Nie, Jiajun Zhang, Qinquan Gao, Tong Tong, Kexin Zhang, Junpei Zhang, Rui Peng, Yanbiao Ma, Licheng Jiao, Haoran Bai, Lingshun Kong, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Pu Cao, Tianrui Huang, Lu Yang, Qing Song, Bingxin Chen, Chunhua He, Meiyun Chen, Zijie Guo, Shaojuan Luo, Chengzhi Cao, Kunyu Wang, Fanrui Zhang, Qiang Zhang, Nancy Mehta, Subrahmanyam Murala, Akshay Dudhane, Yujin Wang, Lingen Li, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Junyang Chen, Hao Li, Yukai Shi, Zhijing Yang, Wenbin Zou, Yunchen Zhang, Mingchao Jiang, Zhongxin Yu, Ming Tan, Hongxia Gao, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Jingxiang Chen, Bo Yang, XiSheryl Zhang, Chenghua Li, Weijun Yuan, Zhan Li, Ruting Deng, Jintao Zeng, Pulkit Mahajan, Sahaj Mistry, Shreyas Chatterjee, Vinit Jakhetiya, Badri N. Subudhi, Sunil Prasad Jaiswal, Zhao Zhang, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Bo Wang, Gen Li, Aijin Li, Lei Sun, Ke Chen, Congling Tang, Yunzhe Li, Jun Chen, Yuan-Chun Chiang, Yi-Chung Chen, Zhi-Kai Huang, Hao-Hsiang Yang, I-Hsiang Chen, Sy-Yen Kuo, Yiheng Wang, Gang Zhu, Xingyi Yang, Songhua Liu, Yongcheng Jing, Xingyu Hu, Jianwen Song, Changming Sun, Arcot Sowmya, Seung Ho Park, Xiaoyan Lei, Jingchao Wang, Chenbo Zhai, Yufei Zhang, Weifeng Cao, Wenlong Zhang

CVPRW 2023 NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Han Zhou, Wei Dong, Yangyi Liu, Jun Chen, Huan Liu, Liangyan Li, Zijun Wu, Yubo Dong, Yuyan Li, Tian Qiu, Yu He, Yonghong Lu, Yinwei Wu, Zhenxiang Jiang, Songhua Liu, Xingyi Yang, Yongcheng Jing, Bilel Benjdira, Anas M. Ali, Anis Koubaa, Hao-Hsiang Yang, I-Hsiang Chen, Wei-Ting Chen, Zhi-Kai Huang, Yi-Chung Chen, Chia-Hsuan Hsieh, Hua-En Chang, Yuan-Chun Chiang, Sy-Yen Kuo, Yu Guo, Yuan Gao, Ryan Wen Liu, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren, Trung Hoang, Haichuan Zhang, Amirsaeed Yazdani, Vishal Monga, Lehan Yang, Alex Jiahao Wu, Tiancheng Mai, Xiaofeng Cong, Xuemeng Yin, Xuefei Yin, Hazim Emad, Ahmed Abdallah, Yahya Yasser, Dalia Elshahat, Esraa Elbaz, Zhan Li, Wenqing Kuang, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Zhao Zhang, Yanyan Wei, Junhu Wang, Suiyi Zhao, Huan Zheng, Jin Guo, Yangfan Sun, Tianli Liu, Dejun Hao, Kui Jiang, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch

CVPRW 2023 NTIRE 2023 Image Shadow Removal Challenge Report Florin-Alexandru Vasluianu, Tim Seizinger, Radu Timofte, Shuhao Cui, Junshi Huang, Shuman Tian, Mingyuan Fan, Jiaqi Zhang, Li Zhu, Xiaoming Wei, Xiaolin Wei, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Xiaoyi Dong, Xi Sheryl Zhang, Chenghua Li, Cong Leng, Woon-Ha Yeo, Wang-Taek Oh, Yeoreum Lee, Han-Cheol Ryu, Jinting Luo, Chengzhi Jiang, Mingyan Han, Qi Wu, Wenjie Lin, Lei Yu, Xinpeng Li, Ting Jiang, Haoqiang Fan, Shuaicheng Liu, Shuning Xu, Binbin Song, Xiangyu Chen, Shile Zhang, Jiantao Zhou, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Bo Wang, Jiahuan Ren, Yan Luo, Yuki Kondo, Riku Miyata, Fuma Yasue, Taito Naruki, Norimichi Ukita, Hua-En Chang, Hao-Hsiang Yang, Yi-Chung Chen, Yuan-Chun Chiang, Zhi-Kai Huang, Wei-Ting Chen, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, 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

NeurIPSW 2023 On Feature Learning of Recursive Feature Machines and Automatic Relevance Determination Daniel Gedon, Amirhesam Abedsoltan, Thomas B. Schön, Mikhail Belkin

TMLR 2023 Online Learning for Prediction via Covariance Fitting: Computation, Performance and Robustness Muhammad Osama, Dave Zachariah, Peter Stoica, Thomas B. Schön

CVPRW 2023 Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön

TMLR 2023 Variational Elliptical Processes Maria Margareta Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön

AISTATS 2022 Learning Proposals for Practical Energy-Based Regression Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön

TMLR 2022 Incorporating Sum Constraints into Multitask Gaussian Processes Philipp Pilar, Carl Jidling, Thomas B. Schön, Niklas Wahlström

CVPRW 2021 Accurate 3D Object Detection Using Energy-Based Models Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön

ECCV 2020 Energy-Based Models for Deep Probabilistic Regression Fredrik K. Gustafsson, Martin Danelljan, Goutam Bhat, Thomas B. Schön

CVPRW 2020 Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön

L4DC 2020 Optimistic Robust Linear Quadratic Dual Control Jack Umenberger, Thomas B. Schön

ECCVW 2020 The Eighth Visual Object Tracking VOT2020 Challenge Results Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhenhua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma

FnTML 2019 Elements of Sequential Monte Carlo Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön

ICML 2019 Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding Muhammad Osama, Dave Zachariah, Thomas B. Schön

UAI 2019 Probabilistic Programming for Birth-Death Models of Evolution Using an Alive Particle Filter with Delayed Sampling Jan Kudlicka, Lawrence M. Murray, Fredrik Ronquist, Thomas B. Schön

NeurIPS 2019 Robust Exploration in Linear Quadratic Reinforcement Learning Jack Umenberger, Mina Ferizbegovic, Thomas B Schön, Håkan Hjalmarsson

AISTATS 2018 Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs Lawrence M. Murray, Daniel Lundén, Jan Kudlicka, David Broman, Thomas B. Schön

NeurIPS 2018 Learning Convex Bounds for Linear Quadratic Control Policy Synthesis Jack Umenberger, Thomas B Schön

NeurIPS 2017 Linearly Constrained Gaussian Processes Carl Jidling, Niklas Wahlström, Adrian Wills, Thomas B Schön

AISTATS 2017 Prediction Performance After Learning in Gaussian Process Regression Johan Wågberg, Dave Zachariah, Thomas B. Schön, Petre Stoica

AISTATS 2016 Computationally Efficient Bayesian Learning of Gaussian Process State Space Models Andreas Svensson, Arno Solin, Simo Särkkä, Thomas B. Schön

JMLR 2014 Particle Gibbs with Ancestor Sampling Fredrik Lindsten, Michael I. Jordan, Thomas B. Schön

NeurIPS 2014 Sequential Monte Carlo for Graphical Models Christian Andersson Naesseth, Fredrik Lindsten, Thomas B Schön

FnTML 2013 Backward Simulation Methods for Monte Carlo Statistical Inference Fredrik Lindsten, Thomas B. Schön

NeurIPS 2013 Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC Roger Frigola, Fredrik Lindsten, Thomas B Schön, Carl Edward Rasmussen