Dominik Narnhofer

24 papers A* 3Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-Attention Networks.
Trans. Mach. Learn. Res.
Dominik J. Mühlematter, Michelle Halbheer, Alexander Becker, Dominik Narnhofer, Helge Aasen, Konrad Schindler, Mehmet Ozgur Turkoglu
2026 J jnl
Repurposing Protein Language Models for Latent Flow-Based Fitness Optimization.
CoRR
Amaru Caceres Arroyo, Lea Bogensperger, Ahmed Allam, Michael Krauthammer, Konrad Schindler, Dominik Narnhofer
2025 A* conf
A Variational Perspective on Generative Protein Fitness Optimization.
ICML
Lea Bogensperger, Dominik Narnhofer, Ahmed Allam, Konrad Schindler, Michael Krauthammer
2025 J jnl
A Variational Perspective on Generative Protein Fitness Optimization.
CoRR
Lea Bogensperger, Dominik Narnhofer, Ahmed Allam, Konrad Schindler, Michael Krauthammer
2025 J jnl
Continuous Space-Time Video Super-Resolution with 3D Fourier Fields.
CoRR
Alexander Becker, Julius Erbach, Dominik Narnhofer, Konrad Schindler
2025 J jnl
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms.
Int. J. Comput. Vis.
Lea Bogensperger, Dominik Narnhofer, Alexander Falk, Konrad Schindler, Thomas Pock
2025 J jnl
Solving Inverse Problems with FLAIR.
CoRR
Julius Erbach, Dominik Narnhofer, Andreas Dombos, Bernt Schiele, Jan Eric Lenssen, Konrad Schindler
2025 J jnl
Thera: Aliasing-Free Arbitrary-Scale Super-Resolution with Neural Heat Fields.
Trans. Mach. Learn. Res.
Alexander Becker, Rodrigo Caye Daudt, Dominik Narnhofer, Torben Peters, Nando Metzger, Jan Dirk Wegner, Konrad Schindler
2025 J jnl
Understanding, Accelerating, and Improving MeanFlow Training.
CoRR
Jin-Young Kim, Hyojun Go, Lea Bogensperger, Julius Erbach, Nikolai Kalischek, Federico Tombari, Konrad Schindler, Dominik Narnhofer
2025 J jnl
VIST3A: Text-to-3D by Stitching a Multi-view Reconstruction Network to a Video Generator.
CoRR
Hyojun Go, Dominik Narnhofer, Goutam Bhat, Prune Truong, Federico Tombari, Konrad Schindler
2025 A* conf
Video Depth without Video Models.
CVPR
Bingxin Ke, Dominik Narnhofer, Shengyu Huang, Lei Ke, Torben Peters, Katerina Fragkiadaki, Anton Obukhov, Konrad Schindler
2024 J jnl
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms.
CoRR
Lea Bogensperger, Dominik Narnhofer, Alexander Falk, Konrad Schindler, Thomas Pock
2024 J jnl
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks.
CoRR
Michelle Halbheer, Dominik J. Mühlematter, Alexander Becker, Dominik Narnhofer, Helge Aasen, Konrad Schindler, Mehmet Ozgur Turkoglu
2024 A* conf
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection.
CVPR
Jakub Micorek, Horst Possegger, Dominik Narnhofer, Horst Bischof, Mateusz Kozinski
2024 J jnl
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection.
CoRR
Jakub Micorek, Horst Possegger, Dominik Narnhofer, Horst Bischof, Mateusz Kozinski
2024 J jnl
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging.
SIAM J. Imaging Sci.
Dominik Narnhofer, Andreas Habring, Martin Holler, Thomas Pock
2024 J jnl
Video Depth without Video Models.
CoRR
Bingxin Ke, Dominik Narnhofer, Shengyu Huang, Lei Ke, Torben Peters, Katerina Fragkiadaki, Anton Obukhov, Konrad Schindler
2023 J jnl
Majorization-Minimization for sparse SVMs.
CoRR
Alessandro Benfenati, Emilie Chouzenoux, Giorgia Franchini, Salla Latva-Aijo, Dominik Narnhofer, Jean-Christophe Pesquet, Sebastian J. Scott, Mahsa Yousefi
2023 — conf
Score-Based Generative Models for Medical Image Segmentation Using Signed Distance Functions.
DAGM
Lea Bogensperger, Dominik Narnhofer, Filip Ilic, Thomas Pock
2023 J jnl
Score-Based Generative Models for Medical Image Segmentation using Signed Distance Functions.
CoRR
Lea Bogensperger, Dominik Narnhofer, Filip Ilic, Thomas Pock
2022 J jnl
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction.
IEEE Trans. Medical Imaging
Dominik Narnhofer, Alexander Effland, Erich Kobler, Kerstin Hammernik, Florian Knoll, Thomas Pock
2022 J jnl
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging.
CoRR
Dominik Narnhofer, Andreas Habring, Martin Holler, Thomas Pock
2021 J jnl
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction.
CoRR
Dominik Narnhofer, Alexander Effland, Erich Kobler, Kerstin Hammernik, Florian Knoll, Thomas Pock
2019 — conf
Using Synthetic Training Data for Deep Learning-Based GBM Segmentation.
EMBC
Lydia Lindner, Dominik Narnhofer, Maximilian Weber, Christina Gsaxner, Malgorzata Kolodziej, Jan Egger