Tag: state-space models

A new open-source package called Varmapack simulates VARMA time series exactly from the first observation, eliminating burn-in while running hundreds ...

Researchers at Central South University have developed an interpretable machine learning framework that fuses spatial and temporal process data to ...

Researchers have unveiled TomoMamba, a two-stage AI framework that uses selective state-space models to propagate features across DBT slices, achieving ...

Researchers have unveiled ANNE, a compact segmentation network that pairs Mamba state-space modeling with adaptive polynomial neuron expansion to match ...

Researchers have developed NMPPI, a lightweight deep learning framework that predicts protein-protein interactions using only sequence and network structure data ...

Researchers in China have developed REF-VMUNetUp, a Mamba-based network with rotary position embeddings and dynamic upsampling that improves multi-organ segmentation ...

Researchers in Beijing have unveiled a wavelet-enhanced model combining Mamba sequence modeling and graph neural networks that outperforms prevailing methods ...

A new hybrid AI architecture called Mamba-OrthoNet fuses global and local visual features with circular angle encoding to detect ship ...