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Real measurements are too limited to train an accurate indoor pathloss predictor that works across a wide range of buildings. Large-scale synthetic pretraining offers a way forward, but real building layouts are also scarce, and accurate ray-tracing simulators are slow, expensive, and often proprietary. We address both...
This work proposes a modified version of a Chinchilla-style scaling law that explicitly accounts for two factors: the number of unique samples and repetition per sample, which provides a framework for understanding data-compute trade-offs and improves prediction in some regimes where repetition plays a central role.
The Practical Molecular Optimization (PMO) benchmark standardized evaluation in molecular optimization, but it is built on simple property-based oracles that do not capture structure-based drug design. As the field has moved to docking-based objectives, evaluation practice has become unstandardized, and different metho...
GeoCrossBench is introduced, an extension of the popular GeoBench benchmark with a new evaluation protocol for cross-band generalization across sensors and satellites, and $\chi$ViT, a self-supervised extension of the band-agnostic ChannelViT, is developed as a supporting baseline for cross-band generalization.
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