59 citations · 114 across the 3 of their papers we have counts for
4 papers
Hallucination Detection in LLMs: Fast and Memory-Efficient Fine-Tuned Models
Gabriel Y. Arteaga, Thomas B. Schön, Nicolas Pielawski
Uncertainty estimation is a necessary component when implementing AI in high-risk settings, such as autonomous cars, medicine, or insurances. Large Language Models (LLMs) have seen…
CoMIR: Contrastive Multimodal Image Representation for Registration
Nicolas Pielawski, Elisabeth Wetzer, Johan Öfverstedt +4
We propose contrastive coding to learn shared, dense image representations, referred to as CoMIRs (Contrastive Multimodal Image Representations). CoMIRs enable the registration of…
Introducing Hann windows for reducing edge-effects in patch-based image segmentation
Nicolas Pielawski, Carolina Wählby
There is a limitation in the size of an image that can be processed using computationally demanding methods such as e.g. Convolutional Neural Networks (CNNs). Some imaging modaliti…
In Silico Prediction of Cell Traction Forces
Nicolas Pielawski, Jianjiang Hu, Staffan Strömblad +1
Traction Force Microscopy (TFM) is a technique used to determine the tensions that a biological cell conveys to the underlying surface. Typically, TFM requires culturing cells on g…