Jens Sjölund

Conditional sampling within generative diffusion models

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

Ingår i Philosophical Transactions. Series A, 2025

• DOI för Conditional sampling within generative diffusion models
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Taming diffusion models for image restoration: a review

Luo, Ziwei; Gustafsson, Fredrik; Zhao, Zheng; Sjölund, Jens et al.

Ingår i Philosophical Transactions. Series A, 2025

• DOI för Taming diffusion models for image restoration: a review
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Accelerating aqueous electrolyte design with automated full-cell battery experimentation and Bayesian optimization

Yik, Jackie; Hvarfner, Carl; Sjölund, Jens; Berg, Erik J. et al.

Ingår i Cell Reports Physical Science, 2025

• DOI för Accelerating aqueous electrolyte design with automated full-cell battery experimentation and Bayesian optimization
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Learning incomplete factorization preconditioners for GMRES

Häusner, Paul; Juscafresa, Aleix Nieto; Sjölund, Jens

Ingår i NORTHERN LIGHTS DEEP LEARNING CONFERENCE, 2025

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

Zhang, Ruoqi; Luo, Ziwei; Sjölund, Jens; Mattsson, Per et al.

2025

• Ladda ner fulltext (pdf) av Real-Time Diffusion Policies for Games: Enhancing Consistency Policies with Q-Ensembles

Conditional sampling within generative diffusion models

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

Ingår i Philosophical Transactions. Series A, 2025

• DOI för Conditional sampling within generative diffusion models
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Accelerating aqueous electrolyte design with automated full-cell battery experimentation and Bayesian optimization

Yik, Jackie; Hvarfner, Carl; Sjölund, Jens; Berg, Erik J. et al.

Ingår i Cell Reports Physical Science, 2025

• DOI för Accelerating aqueous electrolyte design with automated full-cell battery experimentation and Bayesian optimization
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Navigating chemical design spaces for metal-ion batteries via machine-learning-guided phase-field simulations

Taghavian, Hamed; Vanoppen, Viktor; Berg, Erik; Broqvist, Peter et al.

Ingår i npj Computational Materials, 2025

• DOI för Navigating chemical design spaces for metal-ion batteries via machine-learning-guided phase-field simulations
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Probabilistic Zeeman-Doppler imaging of stellar magnetic fields: I. Analysis of τ Scorpii in the weak-field limit

Andersson, Jennifer R.; Kochukhov, Oleg; Zhao, Z.; Sjölund, Jens

Ingår i Astronomy and Astrophysics, 2025

• DOI för Probabilistic Zeeman-Doppler imaging of stellar magnetic fields: I. Analysis of τ Scorpii in the weak-field limit
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Personalized Privacy Amplification via Importance Sampling

Fay, Dominik; Mair, Sebastian; Sjölund, Jens

Ingår i Transactions on Machine Learning Research, 2025

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Archetypal Analysis++: Rethinking the Initialization Strategy

Mair, Sebastian; Sjölund, Jens

Ingår i Transactions on Machine Learning Research, 2024

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Neural incomplete factorization: learning preconditioners for the conjugate gradient method

Häusner, Paul; Öktem, Ozan; Sjölund, Jens

Ingår i Transactions on Machine Learning Research, 2024

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Efficient radiation treatment planning based on voxel importance

Mair, Sebastian; Fu, Anqi; Sjölund, Jens

Ingår i Physics in Medicine and Biology, 2024

• DOI för Efficient radiation treatment planning based on voxel importance
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Variational Elliptical Processes

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

Ingår i Transactions on Machine Learning Research, 2023

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Adaptive Hyperparameter Selection for Differentially Private Gradient Descent

Fay, Dominik; Magnússon, Sindri; Sjölund, Jens; Johansson, Mikael

Ingår i Transactions on Machine Learning Research, 2023

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Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

Hering, Alessa; Hansen, Lasse; Mok, Tony C. W.; Chung, Albert C. S. et al.

Ingår i IEEE Transactions on Medical Imaging, s. 697-712, 2023

• DOI för Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
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Automated electrolyte formulation and coin cell assembly for high-throughput lithium-ion battery research

Yik, Jackie T.; Zhang, Leiting; Sjölund, Jens; Hou, Xu et al.

Ingår i Digital Discovery, s. 799-808, 2023

• DOI för Automated electrolyte formulation and coin cell assembly for high-throughput lithium-ion battery research
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Probabilistic Estimation of Instantaneous Frequencies of Chirp Signals

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

Ingår i IEEE Transactions on Signal Processing, s. 461-476, 2023

• DOI för Probabilistic Estimation of Instantaneous Frequencies of Chirp Signals

Motion-compensated gradient waveforms for tensor-valued diffusion encoding by constrained numerical optimization

Szczepankiewicz, Filip; Sjölund, Jens; Dall'Armellina, Erica; Plein, Sven et al.

Ingår i Magnetic Resonance in Medicine, s. 2117-2126, 2021

• DOI för Motion-compensated gradient waveforms for tensor-valued diffusion encoding by constrained numerical optimization
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Cross-term-compensated gradient waveform design for tensor-valued diffusion MRI

Szczepankiewicz, Filip; Sjölund, Jens

Ingår i Journal of magnetic resonance, 2021

• DOI för Cross-term-compensated gradient waveform design for tensor-valued diffusion MRI
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Taming diffusion models for image restoration: a review

Luo, Ziwei; Gustafsson, Fredrik; Zhao, Zheng; Sjölund, Jens et al.

Ingår i Philosophical Transactions. Series A, 2025

• DOI för Taming diffusion models for image restoration: a review
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Exploring Metal Electroplating for Energy Storage by Quartz Crystal Microbalance: A Review

Vanoppen, Viktor; Johannsmann, Diethelm; Hou, Xu; Sjölund, Jens et al.

Ingår i ADVANCED SENSOR RESEARCH, 2024

• DOI för Exploring Metal Electroplating for Energy Storage by Quartz Crystal Microbalance: A Review
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Learning incomplete factorization preconditioners for GMRES

Häusner, Paul; Juscafresa, Aleix Nieto; Sjölund, Jens

Ingår i NORTHERN LIGHTS DEEP LEARNING CONFERENCE, 2025

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

Zhang, Ruoqi; Luo, Ziwei; Sjölund, Jens; Mattsson, Per et al.

2025

• Ladda ner fulltext (pdf) av Real-Time Diffusion Policies for Games: Enhancing Consistency Policies with Q-Ensembles

NTIRE 2024 restore any image model (RAIM) in the wild challenge

Luo, Ziwei; Gustafsson, Fredrik K.; Zhao, Zheng; Sjölund, Jens et al.

Ingår i 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2024, s. 6632-6640, 2024

• DOI för NTIRE 2024 restore any image model (RAIM) in the wild challenge

Entropy-regularized diffusion policy with Q-ensembles for offline reinforcement learning

Zhang, Ruoqi; Luo, Ziwei; Sjölund, Jens; Schön, Thomas B. et al.

Ingår i Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 2024

Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models

Luo, Ziwei; Gustafsson, Fredrik K.; Zhao, Zheng; Sjölund, Jens et al.

Ingår i 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2024, s. 6641-6651, 2024

• DOI för Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models

Online Learning in Motion Modeling for Intra-interventional Image Sequences

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

Ingår i Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, s. 706-716, 2024

• DOI för Online Learning in Motion Modeling for Intra-interventional Image Sequences
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Controlling Vision-Language Models for Multi-Task Image Restoration

Luo, Ziwei; Gustafsson, Fredrik K.; Zhao, Zheng; Sjölund, Jens et al.

2024

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Ising on the Graph: Task-specific Graph Subsampling via the Ising Model

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

Ingår i Proceedings of theThird Learning on Graphs Conference (LoG 2024), 2024

On Feynman–Kac training of partial Bayesian neural networks

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

Ingår i Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS), s. 3223-3231, 2024

• Ladda ner fulltext (pdf) av On Feynman–Kac training of partial Bayesian neural networks

Image Restoration with Mean-Reverting Stochastic Differential Equations

Luo, Ziwei; Gustafsson, Fredrik K.; Zhao, Zheng; Sjölund, Jens et al.

Ingår i Proceedings of the 40th International Conference on Machine Learning, s. 23045-23066, 2023

• Ladda ner fulltext (pdf) av Image Restoration with Mean-Reverting Stochastic Differential Equations

NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report

Ancuti, Codruta O.; Luo, Ziwei; Gustafsson, Fredrik K.; Zhao, Zheng et al.

Ingår i 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023

• DOI för NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report

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

Luo, Ziwei; Gustafsson, Fredrik K.; Zhao, Zheng; Sjölund, Jens et al.

Ingår i 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), s. 1680-1691, 2023

• DOI för Refusion: Enabling Large-Size Realistic Image Restoration With Latent-Space Diffusion Models

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

Conde, Marcus V.; Luo, Ziwei; Gustafsson, Fredrik K.; Zhao, Zheng et al.

Ingår i 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, s. 1643-1659, 2023

• DOI för Lens-to-Lens Bokeh Effect Transformation: NTIRE 2023 Challenge Report

NTIRE 2023 Image Shadow Removal Challenge Report

Vasluianu, Florin -Alexandru; Luo, Ziwei; Gustafsson, Fredrik K.; Zhao, Zheng et al.

Ingår i 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), s. 1788-1807, 2023

• DOI för NTIRE 2023 Image Shadow Removal Challenge Report

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

Wang, Longguang; Luo, Ziwei; Gustafsson, Fredrik K.; Zhao, Zheng et al.

Ingår i IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), s. 1346-1372, 2023

• DOI för NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results

Unsupervised dynamic modeling of medical image transformations

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

Ingår i 2022 25th International Conference on Information Fusion (FUSION 2022), s. 1-7, 2022

• DOI för Unsupervised dynamic modeling of medical image transformations

Private Learning Via Knowledge Transfer with High-Dimensional Targets

Fay, Dominik; Sjölund, Jens; Oechtering, Tobias J.

Ingår i ICASSP 2022, s. 3873-3877, 2022

• DOI för Private Learning Via Knowledge Transfer with High-Dimensional Targets

Learning a Deformable Registration Pyramid

Gunnarsson, Niklas; Sjölund, Jens; Schön, Thomas B.

Ingår i Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, s. 80-86, 2021

• DOI för Learning a Deformable Registration Pyramid
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Risk-sensitive Actor-free Policy via Convex Optimization

Zhang, Ruoqi; Sjölund, Jens

2023

Diffusion-Based 3D Motion Estimation from Sparse 2D Observations

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

2023

Latent linear dynamics in spatiotemporal medical data

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

Registration by tracking for sequential 2D MRI

Gunnarsson, Niklas; Sjölund, Jens; Schön, Thomas B.