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Jens Sjölund
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2020 – today
- 2024
- [j6]Sebastian Mair, Jens Sjölund:
Archetypal Analysis++: Rethinking the Initialization Strategy. Trans. Mach. Learn. Res. 2024 (2024) - [c17]Zheng Zhao, Sebastian Mair, Thomas B. Schön, Jens Sjölund:
On Feynman-Kac training of partial Bayesian neural networks. AISTATS 2024: 3223-3231 - [c16]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 - [c15]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 - [c14]Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön:
Controlling Vision-Language Models for Multi-Task Image Restoration. ICLR 2024 - [c13]Niklas Gunnarsson
, Jens Sjölund, Peter Kimstrand
Online Learning in Motion Modeling for Intra-interventional Image Sequences. MICCAI (2) 2024: 706-716 - [i26]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) - [i25]Maria Bånkestad, Jennifer Andersson, Sebastian Mair, Jens Sjölund:
Ising on the Graph: Task-specific Graph Subsampling via the Ising Model. CoRR abs/2402.10206 (2024) - [i24]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) - [i23]Sebastian Mair, Anqi Fu, Jens Sjölund:
Efficient Radiation Treatment Planning based on Voxel Importance. CoRR abs/2405.03880 (2024) - [i22]Adrien Corenflos, Zheng Zhao, Simo Särkkä, Jens Sjölund, Thomas B. Schön:
Conditioning diffusion models by explicit forward-backward bridging. CoRR abs/2405.13794 (2024) - [i21]Paul Häusner, Aleix Nieto Juscafresa, Jens Sjölund:
Learning incomplete factorization preconditioners for GMRES. CoRR abs/2409.08262 (2024) - [i20]Zheng Zhao, Ziwei Luo, Jens Sjölund, Thomas B. Schön:
Conditional sampling within generative diffusion models. CoRR abs/2409.09650 (2024) - [i19]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) - 2023
- [j5]Alessa Hering
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 42(3): 697-712 (2023) - [j4]Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön:
Variational Elliptical Processes. Trans. Mach. Learn. Res. 2023 (2023) - [j3]Dominik Fay, Sindri Magnússon, Jens Sjölund, Mikael Johansson:
Adaptive Hyperparameter Selection for Differentially Private Gradient Descent. Trans. Mach. Learn. Res. 2023 (2023) - [j2]Zheng Zhao
Probabilistic Estimation of Instantaneous Frequencies of Chirp Signals. IEEE Trans. Signal Process. 71: 461-476 (2023) - [c12]Ruoqi Zhang, Jens Sjölund:
Risk-sensitive Actor-free Policy via Convex Optimisation. AISafety/SafeRL@IJCAI 2023 - [c11]Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte
NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops 2023: 1346-1372 - [c10]Marcos V. Conde, Manuel Kolmet, Tim Seizinger, Tom E. Bishop, Radu Timofte
Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report. CVPR Workshops 2023: 1643-1659 - [c9]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 - [c8]Florin-Alexandru Vasluianu, Tim Seizinger, Radu Timofte
NTIRE 2023 Image Shadow Removal Challenge Report. CVPR Workshops 2023: 1788-1807 - [c7]Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte
NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report. CVPR Workshops 2023: 1808-1825 - [c6]Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön:
Image Restoration with Mean-Reverting Stochastic Differential Equations. ICML 2023: 23045-23066 - [i18]Jens Sjölund:
A Tutorial on Parametric Variational Inference. CoRR abs/2301.01236 (2023) - [i17]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) - [i16]Sebastian Mair, Jens Sjölund:
Archetypal Analysis++: Rethinking the Initialization Strategy. CoRR abs/2301.13748 (2023) - [i15]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) - [i14]Paul Häusner, Ozan Öktem, Jens Sjölund:
Neural incomplete factorization: learning preconditioners for the conjugate gradient method. CoRR abs/2305.16368 (2023) - [i13]Ruoqi Zhang, Jens Sjölund:
Risk-sensitive Actor-free Policy via Convex Optimization. CoRR abs/2307.00141 (2023) - [i12]Dominik Fay, Sebastian Mair, Jens Sjölund:
Privacy Amplification via Importance Sampling. CoRR abs/2307.10187 (2023) - [i11]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) - [i10]Zheng Zhao, Sebastian Mair, Thomas B. Schön, Jens Sjölund:
On Feynman-Kac training of partial Bayesian neural networks. CoRR abs/2310.19608 (2023) - [i9]Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön:
Variational Elliptical Processes. CoRR abs/2311.12566 (2023) - 2022
- [c5]Niklas Gunnarsson, Jens Sjölund, Peter Kimstrand, Thomas B. Schön:
Unsupervised dynamic modeling of medical image transformations. FUSION 2022: 1-7 - [c4]Dominik Fay
Private Learning Via Knowledge Transfer with High-Dimensional Targets. ICASSP 2022: 3873-3877 - [i8]Jens Sjölund, Maria Bånkestad:
Graph-based Neural Acceleration for Nonnegative Matrix Factorization. CoRR abs/2202.00264 (2022) - [i7]Shreyas Fadnavis, Jens Sjölund, Anders Eklund, Eleftherios Garyfallidis:
NUQ: A Noise Metric for Diffusion MRI via Uncertainty Discrepancy Quantification. CoRR abs/2203.01921 (2022) - 2021
- [i6]Niklas Gunnarsson, Jens Sjölund, Thomas B. Schön:
Latent linear dynamics in spatiotemporal medical data. CoRR abs/2103.00930 (2021) - 2020
- [c3]Niklas Gunnarsson
Learning a Deformable Registration Pyramid. MICCAI (Challenges) 2020: 80-86 - [i5]Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön:
The Elliptical Processes: a New Family of Flexible Stochastic Processes. CoRR abs/2003.07201 (2020) - [i4]Niklas Gunnarsson, Jens Sjölund, Thomas B. Schön:
Registration by tracking for sequential 2D MRI. CoRR abs/2003.10819 (2020) - [i3]Dominik Fay, Jens Sjölund, Tobias J. Oechtering:
Decentralized Differentially Private Segmentation with PATE. CoRR abs/2004.06567 (2020)
2010 – 2019
- 2019
- [i2]Kenneth Lau, Jonas Adler, Jens Sjölund:
A unified representation network for segmentation with missing modalities. CoRR abs/1908.06683 (2019) - 2018
- [j1]Jens Sjölund, Anders Eklund
Bayesian uncertainty quantification in linear models for diffusion MRI. NeuroImage 175: 272-285 (2018) - 2017
- [c2]Jens Sjölund, Anders Eklund
Gaussian process regression can turn non-uniform and undersampled diffusion MRI data into diffusion spectrum imaging. ISBI 2017: 778-782 - 2016
- [i1]Jens Sjölund, Anders Eklund, Evren Özarslan, Hans Knutsson:
Gaussian process regression can turn non-uniform and undersampled diffusion MRI data into diffusion spectrum imaging. CoRR abs/1611.02869 (2016) - 2014
- [c1]Jens Sjölund
Skull Segmentation in MRI by a Support Vector Machine Combining Local and Global Features. ICPR 2014: 3274-3279
Coauthor Index
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last updated on 2024-11-15 19:33 CET by the dblp team
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