https://csit.iaesprime.org/index.php/csit/article/view/289
A hierarchical mixed-effects modeling framework with Weibull reliability characterization for...
hierarchicalmixedeffectsmodelingframework
https://scholars.duke.edu/publication/1526457
Scholars@Duke publication: Facility-based disease surveillance and Bayesian hierarchical modeling...
disease surveillancehierarchical modelingscholarsdukepublication
https://www.1kpapers.com/papers/hierarchical-sparse-attention-done-right-toward-infinite-context-modeling
Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling — AI Paper Summary
Jul 3, 2026 - The paper introduces Hierarchical Landmark Sparse (HiLS) Attention, a chunk-wise sparse attention mechanism for large language models that learns chunk sel
done rightcontext modelinghierarchicalsparseattention
https://ai-search.io/papers/dynamic-chunking-for-end-to-end-hierarchical-sequence-modeling
Dynamic Chunking for End-to-End Hierarchical Sequence Modeling - AI for Dummies - Understand the...
This paper talks about Dynamic Chunking, a new way for AI models to learn and process sequences of data by breaking them into chunks that change based on the...
dynamicchunkingendhierarchicalsequence