In non-stationary multivariate time series, different variables and samples often exhibit heterogeneous latent dynamic states, while existing deep forecasting models usually compress them into a unified end-to-end mapping, leading to suboptimal modeling of time-varying dynamics and limited interpretability regarding wh...
The deployment of real-time three-dimensional (3D) visual perception, continuous spatial sensing, and graphics-intensive multimedia applications on embedded edge devices introduces substantial runtime memory pressure. During execution, these workloads continuously generate small-granularity memory pages, including imag...
Yan-Bo Cheng, Lan Guo, Rui Zhou et al.· Italian National Conference...· 0 citations
This work introduces Learnable Lens Networks (LLN), a physics-inspired architecture that replaces direct feature-space residual accumulation with learnable optical transport in an augmented position-angle phase space and establishes that LLN transport is globally invertible and volume-preserving for any differentiable...
Bin-Bin Yong, Zhao Su, Lan Guo et al.· 0 citations
Hyperbolic ANFIS (HyperANFIS), a hyperbolic extension of ANFIS that preserves the fuzzy semantics and core architecture of conventional ANFIS while performing rule-prototype learning, rule activation, and consequent aggregation in hyperbolic space, strengthens the fuzzy inference process.
Haoran Pei, Zhao Su, Ze-Tao Lin et al.· 0 citations
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