Author

Christopher Nemeth

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Preprint Oct 2026

Spatial Prediction with Guided Diffusion

Spatial prediction is a critically important task in data analyses that involve spatially or spatio-temporally-referenced data. It is commonly carried out using hierarchical models, which comprise a process model describing the latent process of interest, and a data model describing how the process is observed. The tar...

Andrew Zammit-Mangion, L. Astfalck, Raphael Huser et al. · 0 citations

#machine learning Preprint Oct 2026

A Critical Look at Power Sampling when Test Time Sharpening LLMs

Reinforcement learning with verifiable rewards (RLVR) has substantially improved LLM reasoning, yet growing evidence suggests it mainly performs distribution sharpening: concentrating probability mass on reasoning paths the base model already produces. Recent work therefore seeks RLVR's gains without needing reward sig...

Abiel Malkani Talwar, Christopher Nemeth, Henry B. Moss · 0 citations