Author

Thomas Hartvigsen

2 papers indexed here

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Sep 2026

How Do Generative Downscaling Models Use Noise? Insights from Conditional Precipitation Downscaling

Generative deep learning models offer a promising framework for stochastic precipitation downscaling, but it remains unclear how they utilize large-scale conditioning inputs versus stochastic latent variables. This challenge limits physical interpretability and raises concerns about whether generated fine-scale varia...

Shivam Singh, S. Papalexiou, H. Abdelmoaty et al. · Artificial Intelligence for... · 0 citations

#machine learning Preprint Sep 2026

MedKIT: Evaluating Knowledge Integration and Generalization in Large Language Models

Constantly evolving real-world knowledge necessitates models to be updated continuously. Especially in medicine, as clinical evidence changes over time, outdated knowledge can pose safety risks. Existing evaluations of knowledge integration focus on factual recall, offering limited insight into whether newly integrated...

Lukas Thede, Yash Kumar Atri, David Chen et al. · 0 citations