Repository for Publications and Research Data
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Recently Added
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Assessing the performance and explainability of an avalanche danger forecast model
(2025)Natural Hazards and Earth System SciencesDuring winter, public avalanche forecasts provide crucial information for professional decision-makers as well as recreational backcountry users. While avalanche forecasting has traditionally relied exclusively on human expertise, avalanche warning services increasingly integrate data-driven models to support the forecasting process. This study assesses a random-forest classifier trained with weather data and physical snow-cover simulations ...Journal Article -
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph
(2025)TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICSThe rapid proliferation of large language models (LLMs) has stimulated researchers to seek effective and efficient approaches to deal with LLM hallucinations and low-quality outputs. Uncertainty quantification (UQ) is a key element of machine learning applications in dealing with such challenges. However, research to date on UQ for LLMs has been fragmented in terms of techniques and evaluation methodologies. In this work, we address this ...Journal Article -
Low but highly variable soil organic carbon stocks across deeply weathered eroding and depositional tropical landforms
(2025)CatenaSoil organic carbon (SOC) dynamics in temperate regions are highly affected by lateral soil fluxes induced by soil erosion. SOC dynamics in eroding tropical cropland systems characterized by deeply weathered soils and heterogeneous small-scale subsistence farming structures, however, are not well understood yet. Along topographic gradients in the East African Albertine rift region, we investigated the differences in SOC stocks and persistence ...Journal Article -
Deep Unfolding Multi-Modal Image Fusion Network via Attribution Analysis
(2025)IEEE Transactions on Circuits and Systems for Video TechnologyMulti-modal image fusion synthesizes information from multiple sources into a single image, facilitating downstream tasks such as semantic segmentation. Current approaches primarily focus on acquiring informative fusion images at the visual display stratum through intricate mappings. Although some approaches attempt to jointly optimize image fusion and downstream tasks, these efforts often lack direct guidance or interaction, serving only ...Journal Article