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Preprint Sep 2026

Structured Quantum Kernels for Chaotic Forecasting

Quantum kernels promise exponentially large feature spaces, but expressive circuits render their Gram matrices uninformative, bandwidth tuning collapses them toward classical RBF, and the practical consensus is that quantum kernels add nothing on classical data. We answer another productive question, an architectural o...

Zhi-Hui Wang, Sujit Roy, Ata Akbari et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Multimodal-Multiresolution Foundation Model for Lunar Remote Sensing

We present a multimodal foundation model for lunar remote sensing, pretrained from scratch on SomBench, a geographically partitioned corpus of nearly two million co-registered tile bundles spanning 11 modalities at two spatial scales (1 m/pixel and 100 m/pixel). The model adapts the TerraMind masked-token architecture...

Paolo Fraccaro, Gabrielle Nyirjesy, Daniela Szwarcman et al. · 0 citations

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