Probabilistic Models

2 items

RESEARCHarXiv CS.LG·4/9/2026

Probabilistic Language Tries: A Unified Framework for Compression, Decision Policies, and Execution Reuse

Este artigo apresenta Probabilistic Language Tries (PLTs), uma representação unificada que explicita a estrutura de prefixo de qualquer modelo generativo sobre sequências. PLTs atuam como compressor lossless ideal, representação de política para problemas de decisão sequencial (como jogos e robótica) e índice de memoização para reuso de execução, com um teorema chave sobre caching guiado por prior.

sequence generation reinforcement learning data compression Probabilistic Models

RESEARCHarXiv CS.AI·21d ago

Scalable Uncertainty Reasoning in Knowledge Graphs

This research proposes a modular framework to address scalable uncertainty reasoning in Knowledge Graphs, where real-world data often inherently contains uncertainty. It tackles three levels of uncertainty—imprecise attributes, probabilistic triple existence, and incomplete schema knowledge—through tailored techniques like probabilistic literals, probabilistic circuits, and geometric embeddings.

Uncertainty Reasoning Knowledge Graphs Probabilistic Models Semantic Web