papers
Publications (2)
cs.LG2026
Semi-Supervised Learning for Molecular Graphs via Ensemble Consensus
Rasmus Tirsgaard, Laurits Fredsgaard, Marisa Wodrich +2
The paper proposes a semi-supervised learning approach for molecular graph data that uses an ensemble consensus objective to improve prediction accuracy, robustness, and calibratio…
#semi-supervised learning#molecular graphs#graph neural networks#ensemble methods
cs.CV2025
Two Views Are Better than One: Monocular 3D Pose Estimation with Multiview Consistency
Christian Keilstrup Ingwersen, Rasmus Tirsgaard, Rasmus Nylander +3
Deducing a 3D human pose from a single 2D image is inherently challenging because multiple 3D poses can correspond to the same 2D representation. 3D data can resolve this pose ambi…