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Author

Geremia Pompei

2 papers indexed here

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#machine learning Preprint Sep 2026

OpenTSLM TeeMoE: A Unified Time-Series Language Model for Forecasting, Contextual Prediction, and Reasoning

Real-world time-series applications increasingly require models that can handle time series forecasting, context-conditioned prediction, and language-based temporal reasoning. Yet current time-series foundation models remain fragmented across these capabilities: numerical specialists often provide the strongest forecas...

Tony Chen, Timo Stoffregen, Maxwell A. Xu et al. · 0 citations
Open access Sep 2026

On-board efficiency: comparing compressed deep learning and classical models for Earth observation

On-board processing is emerging as a key enabler for Earth observation (EO) missions, reducing downlink requirements and supporting more autonomous, event-driven operations. Deep convolutional neural networks (CNNs) deliver state-of-the-art performance on many EO tasks, but their memory footprint and computational dema...

G. Di Palma, Alessio Pardini, Lan-Pei Li et al. · 0 citations

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