AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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In multiclass probabilistic prediction, Utility Calibration (UC), which focuses auditing on specified utilities, has recently received attention as a way to guarantee downstream decisions while controlling computational and sample requirements. At the same time, some multiclass problems have meaningful label hierarchie...
Neural simulation-based inference (SBI) has been widely successful in inferring a relatively small number of interpretable parameters from potentially high-dimensional observations, such as images or time series. Accordingly, representation learning in SBI has focused almost exclusively on compressing the observations...
Attention with Routed Memory is proposed a novel KV caching structure that introduces a fully differentiable, fixed-size memory system organized as a hierarchical router that achieves superior performance and efficiency compared to fixed KV-caching approaches, while remaining efficient and scalable in terms of both mem...
FinSAgent is proposed, an evidence-grounded multi-agent framework that reframes SEC filing QA as corpus-aligned retrieval planning and corrects both ends with a single principle: inject corpus-side conditioning wherever model priors would otherwise dominate.
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