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Ioannis Papoutsis

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#machine learning Preprint Oct 2026

LoCA: Enabling Multi-Modality in Geospatial Location Encoders

LoCA (Location Contrastive Alignment), a two-stage pipeline that satisfies two requirements a regularizer must satisfy for location encoding in multimodal regimes: co-alignment across modalities, since adapters alone cannot align independently pretrained encoders; and high effective rank, since the location encoder inh...

Panagiotis Koromilas, Eleanna Vali, Diogenis Antonopoulos et al. · 0 citations
Preprint Aug 2026

On the Effectiveness of Adaptation Strategies for VLM-Based Federated Learning in Remote Sensing

The first comparative study of VLM adaptation strategies for FL in the context of RS image classification is presented, and a guideline for the selection of an appropriate VLM adaptation strategy in FL for RS image classification under different operational constraints is derived.

Simon Lösche, Barış Büyüktaş, M. Adler et al. · 0 citations
Open access Sep 2025

Uncertainty-aware deep learning for wildfire danger forecasting

This work presents an uncertainty-aware DL framework that jointly captures epistemic (model) and aleatoric ( data) uncertainty to enhance short-term wildfire danger forecasting and significantly improves the accuracy and reliability of wildfire danger forecasting, advancing the development of trustworthy wildfire DL sy...

Spyros Kondylatos, N. Papadopoulos, G. Camps-Valls et al. · 5 citations · ⚡1

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