Stefan Ailuro — accepted AI-conference papers

2026

FireScope: Wildfire Risk Raster Prediction With a Chain-of-Thought Oracle

Mario Markov, Stefan Ailuro, Luc Van Gool, Konrad Schindler, Danda Pani Paudel

CVPR 2026

Predicting wildfire risk is a reasoning-intensive spatial problem that requires the integration of visual, climatic, and geographic factors to infer continuous risk maps. Existing methods lack the causal reasoning and multimodal understanding required for reliable generalization. We introduce FireSc

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2024

TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization

Andrei Ivanov, Stefan Ailuro

AAAI 2024technical

The paper presents Taylor Map Polynomial Neural Network (TMPNN), a novel form of very high-order polynomial regression, in which the same coefficients for a lower-to-moderate-order polynomial regression are iteratively reapplied so as to achieve a higher-order model without the number of coefficient…

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