Hadamard Representation replaces hidden layers with element-wise products of two layers, reducing neuron dormancy and increasing effective rank to consistently improve model-free RL performance.
Hierarchical conformal classification extends prediction sets to class hierarchies via constrained optimization, maintaining coverage guarantees while yielding smaller, semantically structured sets that annotators prefer.
tPoE-EIB constrains EEG diagnosis to selected evidence via tempered product-of-experts fusion, improving auditable selection and integration faithfulness while preserving accuracy.
NBFFG uses a proxy linear-Gaussian backward filter and neural residual to guide inference in nonlinear continuous tree processes, reducing training cost to path-length dependence and outperforming baselines in phylogenetic reconstruction.