Jens Sjölund

According to our database, Jens Sjölund authored at least 50 papers between 2014 and 2025.

Collaborative distances:

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

2025

Exploring Modularity of Agentic Systems for Drug Discovery.

Laura van Weesep, Samuel Genheden, Ola Engkvist, Jens Sjölund

CoRR, June, 2025

Machine learning for in-situ composition mapping in a self-driving magnetron sputtering system.

Sanna Jarl, Jens Sjölund, Robert J. W. Frost, Anders Holst, Jonathan J. S. Scragg

CoRR, June, 2025

Forward-only Diffusion Probabilistic Models.

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

CoRR, May, 2025

Towards Better Sample Efficiency in Multi-Agent Reinforcement Learning via Exploration.

Amir Baghi, Jens Sjölund, Joakim Bergdahl, Linus Gisslén, Alessandro Sestini

CoRR, March, 2025

Minimal positive Markov realizations.

Hamed Taghavian, Jens Sjölund

CoRR, February, 2025

Personalized Privacy Amplification via Importance Sampling.

Dominik Fay, Sebastian Mair, Jens Sjölund

Trans. Mach. Learn. Res., 2025

Learning incomplete factorization preconditioners for GMRES.

Paul Häusner, Aleix Nieto Juscafresa, Jens Sjölund

Proceedings of the Northern Lights Deep Learning Conference, 2025

Real-Time Diffusion Policies for Games: Enhancing Consistency Policies with Q-Ensembles.

Ruoqi Zhang, Ziwei Luo, Jens Sjölund, Per Mattsson, Linus Gisslén, Alessandro Sestini

Proceedings of the IEEE Conference on Games, 2025

Conditioning diffusion models by explicit forward-backward bridging.

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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Neural incomplete factorization: learning preconditioners for the conjugate gradient method.

Paul Häusner, Ozan Öktem, Jens Sjölund

Trans. Mach. Learn. Res., 2024

Archetypal Analysis++: Rethinking the Initialization Strategy.

Sebastian Mair, Jens Sjölund

Trans. Mach. Learn. Res., 2024

Symmetrizable systems.

Hamed Taghavian, Jens Sjölund

CoRR, 2024

Taming Diffusion Models for Image Restoration: A Review.

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

CoRR, 2024

Conditional sampling within generative diffusion models.

Zheng Zhao, Ziwei Luo, Jens Sjölund, Thomas B. Schön

CoRR, 2024

Efficient Radiation Treatment Planning based on Voxel Importance.

Sebastian Mair, Anqi Fu, Jens Sjölund

CoRR, 2024

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

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Online Learning in Motion Modeling for Intra-interventional Image Sequences.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Ising on the Graph: Task-Specific Graph Subsampling via the Ising Model.

Maria Bånkestad, Jennifer R. Andersson, Sebastian Mair, Jens Sjölund

Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

Controlling Vision-Language Models for Multi-Task Image Restoration.

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

Proceedings of the Twelfth International Conference on Learning Representations, 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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

On Feynman-Kac training of partial Bayesian neural networks.

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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.

Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich

IEEE Trans. Medical Imaging, March, 2023

Probabilistic Estimation of Instantaneous Frequencies of Chirp Signals.

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

IEEE Trans. Signal Process., 2023

Adaptive Hyperparameter Selection for Differentially Private Gradient Descent.

Dominik Fay, Sindri Magnússon, Jens Sjölund, Mikael Johansson

Trans. Mach. Learn. Res., 2023

Variational Elliptical Processes.

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

Trans. Mach. Learn. Res., 2023

Controlling Vision-Language Models for Universal Image Restoration.

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

CoRR, 2023

Privacy Amplification via Importance Sampling.

Dominik Fay, Sebastian Mair, Jens Sjölund

CoRR, 2023

Risk-sensitive Actor-free Policy via Convex Optimization.

Ruoqi Zhang, Jens Sjölund

CoRR, 2023

A Tutorial on Parametric Variational Inference.

Jens Sjölund

CoRR, 2023

Image Restoration with Mean-Reverting Stochastic Differential Equations.

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

Proceedings of the International Conference on Machine Learning, 2023

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

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

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

NTIRE 2023 Image Shadow Removal Challenge Report.

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

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

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

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

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

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

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

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

NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report.

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

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

Risk-sensitive Actor-free Policy via Convex Optimisation.

Ruoqi Zhang, Jens Sjölund

Proceedings of the IJCAI-23 Joint Workshop on Artificial Intelligence Safety and Safe Reinforcement Learning (AISafety-SafeRL 2023) co-located with the 32nd International Joint Conference on Artificial Intelligence(IJCAI2023), 2023

2022

NUQ: A Noise Metric for Diffusion MRI via Uncertainty Discrepancy Quantification.

Shreyas Fadnavis, Jens Sjölund, Anders Eklund, Eleftherios Garyfallidis

CoRR, 2022

Graph-based Neural Acceleration for Nonnegative Matrix Factorization.

Jens Sjölund, Maria Bånkestad

CoRR, 2022

Private Learning Via Knowledge Transfer with High-Dimensional Targets.

Dominik Fay, Jens Sjölund, Tobias J. Oechtering

Proceedings of the IEEE International Conference on Acoustics, 2022

Unsupervised dynamic modeling of medical image transformations.

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

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

2021

Latent linear dynamics in spatiotemporal medical data.

Niklas Gunnarsson, Jens Sjölund, Thomas B. Schön

CoRR, 2021

2020

Decentralized Differentially Private Segmentation with PATE.

Dominik Fay, Jens Sjölund, Tobias J. Oechtering

CoRR, 2020

Registration by tracking for sequential 2D MRI.

Niklas Gunnarsson, Jens Sjölund, Thomas B. Schön

CoRR, 2020

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

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

CoRR, 2020

Learning a Deformable Registration Pyramid.

Niklas Gunnarsson, Jens Sjölund, Thomas B. Schön

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

2019

A unified representation network for segmentation with missing modalities.

Kenneth Lau, Jonas Adler, Jens Sjölund

CoRR, 2019

2018

Bayesian uncertainty quantification in linear models for diffusion MRI.

Jens Sjölund, Anders Eklund, Evren Özarslan, Magnus Herberthson, Maria Bånkestad, Hans Knutsson

NeuroImage, 2018

2017

Gaussian process regression can turn non-uniform and undersampled diffusion MRI data into diffusion spectrum imaging.

Jens Sjölund, Anders Eklund, Evren Özarslan, Hans Knutsson

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2014

Skull Segmentation in MRI by a Support Vector Machine Combining Local and Global Features.

Jens Sjölund, Andreas Eriksson Jarlideni, Mats T. Andersson, Hans Knutsson, Hakan Nordstrom

Proceedings of the 22nd International Conference on Pattern Recognition, 2014