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Hypergraph Neural Stochastic Diffusion: An SDE
我们处理基于自然语言的细粒度室内定位问题:给定对周围环境的自由格式描述,估计观察者在已知3D环境内的2D位置和朝向。语言查询是轻量级的、保护隐私的,并且不需要相...
A Comparative Study of Bayesian Contextual Bandits for Real-Time Warehouse Sorte...
Efficient Analytic Uncertainty Quantification for Multi-Modal Regression
现代编码智能体将大语言模型生成器与各种工具配对,包括廉价的诊断工具和昂贵的验证器。工具使用决策通常由编排器控制,这些编排器通常使用固定规则并忽略不确定性。我们将...
Bayesian Variable Selection in Generalized Linear Models
https://www.kaggle.com/competitions/arc-prize-2026-arc-agi-3/code
Statistically Valid Hyperparameter Selection: From Tuning to Guarantees
Bayesian Predictive Synthesis for Dynamic Networks:Forecasting and Identifying S...
Equivariance and Augmentation for Bayesian Neural Networks
Identifying structural design principles shaping thecomputational abilities of r...
On measurement, superdeterminism, free will,and contextuality
Semantic narration of vision at single-cell resolution
https://people.math.sc.edu/cooper/spectraofhypergraphs.pdf
A Survey of Compositional Signal Flow Theory
超图范畴(hypergraph categories)至少被重新发现了五次,使用了不同的名称,包括良支撑紧致闭范畴(well-supported compact...
我们提出了一种关于有限超图族上基于函数的超图变换的新的一般理论。基于函数的超图变换形式化了以一致的方式对来自一个族的超图进行结构修改的操作。这些变换的数学形式便...
https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136810086.pdf
Higher-Order Knowledge Representations for Agentic Scientific Reasoning
https://ora.ox.ac.uk/objects/uuid:acfb9de6-9299-4b7b-86ed-51038304a9d7/files/rws...
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