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cs.LG2025
Spatial Uncertainty Quantification in Wildfire Forecasting for Climate-Resilient Emergency Planning
Aditya Chakravarty
Climate change is intensifying wildfire risks globally, making reliable forecasting critical for adaptation strategies. While machine learning shows promise for wildfire prediction…
cs.LG2025
Out-of-Distribution Generalization in Climate-Aware Yield Prediction with Earth Observation Data
Aditya Chakravarty
Climate change is increasingly disrupting agricultural systems, making accurate crop yield forecasting essential for food security. While deep learning models have shown promise in…
cs.CV2025
Multi-Step Guided Diffusion for Image Restoration on Edge Devices: Toward Lightweight Perception in Embodied AI
Aditya Chakravarty
Diffusion models have shown remarkable flexibility for solving inverse problems without task-specific retraining. However, existing approaches such as Manifold Preserving Guided Di…