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6 papers

stat.CO2026

Higher-Order Hit-&-Run Samplers for Linearly Constrained Densities

Richard D. Paul, Anton Stratmann, Johann F. Jadebeck +4

The paper introduces a new MCMC algorithm that combines higher‑order information (gradients and curvature of the log‑density) with Hit‑and‑Run proposals to efficiently sample distr…

eess.IV2025

Physics-Guided Diffusion Priors for Multi-Slice Reconstruction in Scientific Imaging

Laurentius Valdy, Richard D. Paul, Alessio Quercia +4

Accurate multi-slice reconstruction from limited measurement data is crucial to speed up the acquisition process in medical and scientific imaging. However, it remains challenging…

cs.CV2025

acia-workflows: Automated Single-cell Imaging Analysis for Scalable and Deep Learning-based Live-cell Imaging Analysis Workflows

Johannes Seiffarth, Keitaro Kasahara, Michelle Bund +7

Live-cell imaging (LCI) technology enables the detailed spatio-temporal characterization of living cells at the single-cell level, which is critical for advancing research in the l…

eess.IV2025

Efficient Epistemic Uncertainty Estimation in Cerebrovascular Segmentation

Omini Rathore, Richard Paul, Abigail Morrison +2

Brain vessel segmentation of MR scans is a critical step in the diagnosis of cerebrovascular diseases. Due to the fine vessel structure, manual vessel segmentation is time consumin…

cs.CV2025

How To Make Your Cell Tracker Say "I dunno!"

Richard D. Paul, Johannes Seiffarth, David Rügamer +2

Cell tracking is a key computational task in live-cell microscopy, but fully automated analysis of high-throughput imaging requires reliable and, thus, uncertainty-aware data analy…

cs.CV2025

1LoRA: Summation Compression for Very Low-Rank Adaptation

Alessio Quercia, Zhuo Cao, Arya Bangun +4

Parameter-Efficient Fine-Tuning (PEFT) methods have transformed the approach to fine-tuning large models for downstream tasks by enabling the adjustment of significantly fewer para…