Publications

Filter by type:

Towards Accurate and Reliable Deep Regression Models
PhD Thesis, 2023

pdf DiVA Video Slides

Controlling Vision-Language Models for Multi-Task Image Restoration
ICLR, 2024

arXiv Code Project OpenReview

Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models
CVPR Workshops, 2023

arXiv Code

How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?
TMLR, 2023

arXiv Code OpenReview

Image Restoration with Mean-Reverting Stochastic Differential Equations
ICML, 2023

arXiv Code Project

ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods
Preprint, 2022

arXiv Code

Learning Proposals for Practical Energy-Based Regression
AISTATS, 2022

arXiv Code Poster Slides

Uncertainty-Aware Body Composition Analysis with Deep Regression Ensembles on UK Biobank MRI
Computerized Medical Imaging and Graphics, 2021

arXiv Code

Deep Energy-Based NARX Models
SYSID, 2021

arXiv Code Slides

Accurate 3D Object Detection using Energy-Based Models
CVPR Workshops, 2021

arXiv Code Poster Video Slides

How to Train Your Energy-Based Model for Regression
BMVC, 2020

arXiv Code Video (1.5 min) Slides (1.5 min)

Energy-Based Models for Deep Probabilistic Regression
ECCV, 2020

arXiv Code Video (1 min) Slides (1 min) Video Slides

Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision
CVPR Workshops, 2020

arXiv Code Poster Video Slides

Automotive 3D Object Detection Without Target Domain Annotations
Master of Science Thesis in Electrical Engineering, 2018

Link to paper Code Video Slides