Scholar
Dominik Narnhofer
Google Scholar ID: tFx8AhkAAAAJ
Postdoc ETH Zurich
generative models
machine learning
uncertainty estimation
inverse problems
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Citations & Impact
All-time
Citations
264
H-index
8
i10-index
8
Publications
19
Co-authors
7
list available
Contact
No contact links provided.
Publications
9 items
Repurposing Protein Language Models for Latent Flow-Based Fitness Optimization
2026
Cited
0
Understanding, Accelerating, and Improving MeanFlow Training
2025
Cited
0
VIST3A: Text-to-3D by Stitching a Multi-view Reconstruction Network to a Video Generator
2025
Cited
0
Continuous Space-Time Video Super-Resolution with 3D Fourier Fields
2025
Cited
0
Solving Inverse Problems with FLAIR
2025
Cited
0
A Variational Perspective on Generative Protein Fitness Optimization
2025
Cited
0
Video Depth without Video Models
arXiv.org · 2024
Cited
0
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms
arXiv.org · 2024
Cited
1
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Resume (English only)
Co-authors
7 total
Thomas Pock
Professor of Computer Science, TU Graz
Konrad Schindler
Professor of Photogrammetry and Remote Sensing, ETH Zurich
Florian Knoll
Friedrich-Alexander University Erlangen Nuremberg
Co-author 4
Lea Bogensperger
University of Zurich
Alexander Effland
Professor
Erich Kobler
Institute for Machine Learning, Johannes Kepler University Linz
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