arXiv cs.AIPaper
Kalman Delta Networks: Uncertainty-aware Associative Memory
The paper addresses a real constraint in efficient attention: recurrent memory must decide what to write before knowing what future queries will need. KDNs track uncertainty to weight writes by evidence, which is cleaner than prior delta-rule approaches. For builders optimizing inference on long contexts, this is incremental progress on the efficiency frontier, not a breakthrough that changes what you build this month.