Thomas B. Schön
- Evaluating model calibration in classification
2019/02/19 by Juozas Vaicenavičius, David Widmann, Vaicenavicius, Juozas +9 · 23 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Software Reliability and Analysis Research
- Controlling Vision-Language Models for Multi-Task Image Restoration
2023/10/02 by Ziwei Luo, Fredrik Gustafsson, Luo, Ziwei +7 · 37 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Advanced Image Processing Techniques
- Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models
2023/04/17 by Ziwei Luo, Luo, Ziwei, Fredrik Gustafsson +7 · 13 citations
Computer Science · #Advanced Image Processing Techniques #Generative Adversarial Networks and Image Synthesis #Image and Signal Denoising Methods
- Guarantees for data-driven control of nonlinear systems using semidefinite programming: A survey
2023/06/28 by Tim Martin, Martin, Tim, Thomas B. Schön +3 · 14 citations
Engineering · #Advanced Control Systems Optimization #Control Systems and Identification #FOS: Electrical engineering #FOS: Mathematics #Fault Detection and Control Systems #Optimization and Control (math.OC) #Systems and Control (eess.SY) #electronic engineering #information engineering
- Using Inertial Sensors for Position and Orientation Estimation
2017/04/20 by Manon Kok, Jeroen D. Hol, Thomas B. Schön · 1 voice · 2 citations
Computer Science · Engineering · #Indoor and Outdoor Localization Technologies #Inertial Sensor and Navigation #Target Tracking and Data Fusion in Sensor Networks #cs.RO #eess.SY
- Deep networks for system identification: a Survey
2023/01/30 by Gianluigi Pillonetto, Aleksandr Y. Aravkin, Pillonetto, Gianluigi +9 · 10 citations
Computer Science · Physics and Astronomy · #Advanced Neural Network Applications #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Systems and Control (eess.SY) #electronic engineering #information engineering
- Computationally Efficient Bayesian Learning of Gaussian Process State Space Models
2015/06/07 by Andreas Svensson, Svensson, Andreas, Arno Solin +5 · 5 citations
Computer Science · Engineering · #Computation (stat.CO) #FOS: Computer and information sciences #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Target Tracking and Data Fusion in Sensor Networks
- Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models
2024/04/15 by Ziwei Luo, Fredrik Gustafsson, Luo, Ziwei +7 · 4 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
- System Identification through Online Sparse Gaussian Process Regression\n with Input Noise
2016/01/29 by Hildo Bijl, Bijl, Hildo, Thomas B. Schön +5 · 1 citation
Computer Science · Engineering · #Control Systems and Identification #FOS: Computer and information sciences #FOS: Electrical engineering #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Systems and Control (eess.SY) #electronic engineering #information engineering
- Getting Started with Particle Metropolis-Hastings for Inference in\n Nonlinear Dynamical Models
2015/11/05 by Johan Dahlin, Dahlin, Johan, Thomas B. Schön +1 · 1 citation
Computer Science · Mathematics · Physics and Astronomy · #Bayesian Modeling and Causal Inference #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistical Finance (q-fin.ST) #Statistical Mechanics and Entropy
- Conditioning diffusion models by explicit forward-backward bridging
2024/05/22 by Adrien Corenflos, Corenflos, Adrien, Zheng Zhao +7 · 3 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
- Sequential Monte Carlo for Graphical Models
2014/02/03 by Christian A. Naesseth, Fredrik Lindsten, Naesseth, Christian A. +3 · 1 citation
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #Markov Chains and Monte Carlo Methods
- Hallucination Detection in LLMs: Fast and Memory-Efficient Fine-Tuned Models
2024/09/04 by Gabriel Y. Arteaga, Arteaga, Gabriel Y., Thomas B. Schön +3 · 3 citations
Biochemistry, Genetics and Molecular Biology · Neuroscience · #Artificial Intelligence (cs.AI) #Brain Tumor Detection and Classification #Cell Image Analysis Techniques #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Taming Diffusion Models for Image Restoration: A Review
2024/09/16 by Ziwei Luo, Luo, Ziwei, Fredrik Gustafsson +7 · 3 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
- 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
- Reinforcement learning with non-ergodic reward increments: robustness via ergodicity transformations
2023/10/17 by Dominik Baumann, Baumann, Dominik, Erfaun Noorani +9 · 2 citations
Business, Management and Accounting · Decision Sciences · Economics, Econometrics and Finance · #Auction Theory and Applications #Consumer Market Behavior and Pricing #FOS: Computer and information sciences #Machine Learning (cs.LG) #Sports Analytics and Performance
- Gaussian inference for data-driven state-feedback design of nonlinear systems
2022/11/10 by Tim Martin, Martin, Tim, Thomas B. Schön +3 · 1 citation
Computer Science · Engineering · Physics and Astronomy · #Control Systems and Identification #FOS: Electrical engineering #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Model Reduction and Neural Networks #Optimization and Control (math.OC) #Systems and Control (eess.SY) #electronic engineering #information engineering
- Linearly Constrained Neural Networks
2020/02/05 by Johannes Hendriks, Hendriks, Johannes, Carl Jidling +5 · 1 citation
Computer Science · Engineering · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Control Systems and Identification #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
- Forward-only Diffusion Probabilistic Models
2025/05/22 by Ziwei Luo, Luo, Ziwei, Fredrik K. Gustafsson +5 · 1 voice · 1 citation
#cs.LG