New cycle-consistent optimization, task vector theory, singular vector decompositions, adaptive routing, and efficient evolutionary search provide foundations for merging neural network weights across tasks.
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EarthSight reduces average compute time per image by 1.9x and 90th-percentile end-to-end latency from 51 to 21 minutes by distributing inference decisions between orbit and ground with shared backbones and early rejection filters.
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Model Merging: Foundations and Algorithms
New cycle-consistent optimization, task vector theory, singular vector decompositions, adaptive routing, and efficient evolutionary search provide foundations for merging neural network weights across tasks.
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EarthSight: A Distributed Framework for Low-Latency Satellite Intelligence
EarthSight reduces average compute time per image by 1.9x and 90th-percentile end-to-end latency from 51 to 21 minutes by distributing inference decisions between orbit and ground with shared backbones and early rejection filters.