Jens Sjölund

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

Jarl, Sanna; Sjölund, Jens; Frost, Robert J. W.; Holst, Anders et al.

Part of Materials & design, p. 115087-115087, 2025

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

Part of Cell Reports Physical Science, 2025

• DOI for Accelerating aqueous electrolyte design with automated full-cell battery experimentation and Bayesian optimization
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Minimal positive Markov realizations

Taghavian, Hamed; Sjölund, Jens

Part of 2025 IEEE 64th Conference on Decision and Control (CDC), p. 858-863, 2025

• DOI for Minimal positive Markov realizations

Porosity predictions in additive manufacturing of Mg alloy WE43 using a Gaussian Process methodology

Ramesh Babu, Shashank; Sjölund, Jens; Persson, Cecilia

2025

Conditioning diffusion models by explicit forward-backward bridging

Corenflos, Adrien; Zhao, Zheng; Särkkä, Simo; Sjölund, Jens et al.

Part of Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, p. 3709-3717, 2025

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

Jarl, Sanna; Sjölund, Jens; Frost, Robert J. W.; Holst, Anders et al.

Part of Materials & design, p. 115087-115087, 2025

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

Part of Cell Reports Physical Science, 2025

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

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

Part of Philosophical Transactions. Series A, 2025

• DOI for Conditional sampling within generative diffusion models
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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.

Part of npj Computational Materials, 2025

• DOI for 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

Part of Astronomy and Astrophysics, 2025

• DOI for 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

Part of Transactions on Machine Learning Research, 2025

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Archetypal Analysis++: Rethinking the Initialization Strategy

Mair, Sebastian; Sjölund, Jens

Part of 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

Part of Transactions on Machine Learning Research, 2024

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Efficient radiation treatment planning based on voxel importance

Mair, Sebastian; Fu, Anqi; Sjölund, Jens

Part of Physics in Medicine and Biology, 2024

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

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

Part of Transactions on Machine Learning Research, 2023

Adaptive Hyperparameter Selection for Differentially Private Gradient Descent

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

Part of Transactions on Machine Learning Research, 2023

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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.

Part of Digital Discovery, p. 799-808, 2023

• DOI for Automated electrolyte formulation and coin cell assembly for high-throughput lithium-ion battery research
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Variational Elliptical Processes

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

Part of 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.

Part of IEEE Transactions on Medical Imaging, p. 697-712, 2023

• DOI for Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
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Probabilistic Estimation of Instantaneous Frequencies of Chirp Signals

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

Part of IEEE Transactions on Signal Processing, p. 461-476, 2023

• DOI for 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.

Part of Magnetic Resonance in Medicine, p. 2117-2126, 2021

• DOI for 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

Part of Journal of magnetic resonance, 2021

• DOI for 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.

Part of Philosophical Transactions. Series A, 2025

• DOI for 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.

Part of ADVANCED SENSOR RESEARCH, 2024

• DOI for Exploring Metal Electroplating for Energy Storage by Quartz Crystal Microbalance: A Review
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Minimal positive Markov realizations

Taghavian, Hamed; Sjölund, Jens

Part of 2025 IEEE 64th Conference on Decision and Control (CDC), p. 858-863, 2025

• DOI for Minimal positive Markov realizations

Porosity predictions in additive manufacturing of Mg alloy WE43 using a Gaussian Process methodology

Ramesh Babu, Shashank; Sjölund, Jens; Persson, Cecilia

2025

Conditioning diffusion models by explicit forward-backward bridging

Corenflos, Adrien; Zhao, Zheng; Särkkä, Simo; Sjölund, Jens et al.

Part of Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, p. 3709-3717, 2025

• Download full text (pdf) of Conditioning diffusion models by explicit forward-backward bridging

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

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

Part of 2025 IEEE Conference on Games (CoG), 2025

• DOI for Real-Time Diffusion Policies for Games: Enhancing Consistency Policies with Q-Ensembles
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Learning incomplete factorization preconditioners for GMRES

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

Part of NORTHERN LIGHTS DEEP LEARNING CONFERENCE, 2025

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

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

Part of 38th Conference on Neural Information Processing Systems, NeurIPS 2024, 2024

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

On Feynman–Kac training of partial Bayesian neural networks

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

Part of Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS), p. 3223-3231, 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

Part of Proceedings of the Third Learning on Graphs Conference, 2024

Controlling Vision-Language Models for Multi-Task Image Restoration

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

Part of International Conference on Learning Representations 2024 (ICLR 2024), 2024

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

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

Part of 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2024, p. 6632-6640, 2024

• DOI for 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.

Part of 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.

Part of 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2024, p. 6641-6651, 2024

• DOI for 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.

Part of Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, p. 706-716, 2024

• DOI for Online Learning in Motion Modeling for Intra-interventional Image Sequences
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Image Restoration with Mean-Reverting Stochastic Differential Equations

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

Part of Proceedings of the 40th International Conference on Machine Learning, p. 23045-23066, 2023

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NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report

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

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

• DOI for 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.

Part of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), p. 1680-1691, 2023

• DOI for 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.

Part of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, p. 1643-1659, 2023

• DOI for 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.

Part of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), p. 1788-1807, 2023

• DOI for 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.

Part of IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), p. 1346-1372, 2023

• DOI for 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.

Part of 2022 25th International Conference on Information Fusion (FUSION 2022), p. 1-7, 2022

• DOI for Unsupervised dynamic modeling of medical image transformations

Private Learning Via Knowledge Transfer with High-Dimensional Targets

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

Part of ICASSP 2022, p. 3873-3877, 2022

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

Learning a Deformable Registration Pyramid

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

Part of Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, p. 80-86, 2021

• DOI for 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.

Exploring Automated Approach and Data-Driven Insights for Optimization of Electrolyte Additive Blends for Li-ion Batteries

Yik, Jackie; Berg, Michael; Thöming, Lukas Lindén; Sjölund, Jens et al.

Trials and Tribulations of High-Dimensional Electrolyte Design for Aqueous Zinc Batteries Using Bayesian Optimization

Yik, Jackie; Thöming, Lukas Lindén; Vanoppen, Viktor; Sjölund, Jens et al.