3 papers
cs.LG2026
TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations
Gideon Stein, Niklas Penzel, Tristan Piater +1
Causal Discovery (CD) is a powerful framework for scientific inquiry. Yet, its practical adoption is hindered by a reliance on strong, often unverifiable assumptions and a lack of…
cs.CV2025
Prompt-Tuning SAM: From Generalist to Specialist with only 2048 Parameters and 16 Training Images
Tristan Piater, Björn Barz, Alexander Freytag
The Segment Anything Model (SAM) is widely used for segmenting a diverse range of objects in natural images from simple user prompts like points or bounding boxes. However, SAM's p…
cs.CV2024
When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite Work Out
Tristan Piater, Niklas Penzel, Gideon Stein +1
A substantial body of research has focused on developing systems that assist medical professionals during labor-intensive early screening processes, many based on convolutional dee…