Sjölund, Jens

1. Controlling Vision-Language Models for Multi-Task Image Restoration
   2023/10/02 by Ziwei Luo, Luo, Ziwei, Fredrik Gustafsson +7 · 51 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Advanced Image Processing Techniques
2. Image Restoration with Mean-Reverting Stochastic Differential Equations
   2023/01/27 by Ziwei Luo, Luo, Ziwei, Fredrik Gustafsson +7 · 44 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Image Processing Techniques #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image and Signal Denoising Methods #Machine Learning (cs.LG)
3. Learn2Reg: comprehensive multi-task medical image registration\n challenge, dataset and evaluation in the era of deep learning
   2021/12/08 by Alessa Hering, Lasse Hansen, Hering, Alessa +97 · 23 citations
   Engineering · Medicine · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Medical Imaging Techniques and Applications #Medical Imaging and Analysis #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
4. Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models
   2023/04/17 by Ziwei Luo, Luo, Ziwei, Fredrik Gustafsson +7 · 16 citations
   Computer Science · #Advanced Image Processing Techniques #Generative Adversarial Networks and Image Synthesis #Image and Signal Denoising Methods
5. Neural incomplete factorization: learning preconditioners for the conjugate gradient method
   2023/05/25 by Paul Häusner, Häusner, Paul, Ozan Öktem +3 · 7 citations
   Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Matrix Theory and Algorithms #Neural Networks and Applications #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
6. Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning
   2024/02/06 by Ruoqi Zhang, Zhang, Ruoqi, Ziwei Luo +7 · 7 citations
   Computer Science · #Adaptive Dynamic Programming Control #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Systems and Control (eess.SY) #electronic engineering #information engineering
7. Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models
   2024/04/15 by Ziwei Luo, Fredrik Gustafsson, Luo, Ziwei +7 · 6 citations
   Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image and Signal Denoising Methods
8. Conditional sampling within generative diffusion models
   2024/09/15 by Zhao, Zheng, Luo, Ziwei, Sjölund, Jens +1 · 7 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
9. Learning incomplete factorization preconditioners for GMRES
   2024/09/12 by Häusner, Paul, Juscafresa, Aleix Nieto, Sjölund, Jens · 5 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #Optimization and Control (math.OC)
10. Conditioning diffusion models by explicit forward-backward bridging
    2024/05/22 by Adrien Corenflos, Zheng Zhao, Corenflos, Adrien +7 · 4 citations
    Computer Science · Physics and Astronomy · #Advanced Mathematical Modeling in Engineering #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Model Reduction and Neural Networks
11. On Feynman--Kac training of partial Bayesian neural networks
    2023/10/30 by Zheng Zhao, Zhao, Zheng, Sebastian Mair +5 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
12. Taming Diffusion Models for Image Restoration: A Review
    2024/09/16 by Ziwei Luo, Luo, Ziwei, Fredrik Gustafsson +7 · 4 citations
    Computer Science · Mathematics · Medicine · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image and Signal Denoising Methods #Medical Imaging Techniques and Applications #Numerical methods in inverse problems
13. Graph-based Neural Acceleration for Nonnegative Matrix Factorization
    2022/02/01 by Jens Sjölund, Maria Bånkestad, Sjölund, Jens +1 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Matrix Theory and Algorithms #Neural Networks and Applications #Numerical Analysis (math.NA) #Optimization and Control (math.OC)
14. A Tutorial on Parametric Variational Inference
    2023/01/03 by Sjölund, Jens · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
15. Exploring Modularity of Agentic Systems for Drug Discovery
    2025/06/27 by Laura van Weesep, Samuel Genheden, van Weesep, Laura +5 · 1 citation
    Computer Science · Decision Sciences · Materials Science · #Computation and Language (cs.CL) #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Multiagent Systems (cs.MA) #Scientific Computing and Data Management
16. Forward-only Diffusion Probabilistic Models
    2025/05/22 by Ziwei Luo, Fredrik K. Gustafsson, Luo, Ziwei +5 · 1 voice · 1 citation
    #cs.LG