Geometry-aware generative autoencoders for warped riemannian metric learning and generative modeling on data manifolds
Rapid growth of high-dimensional datasets in fields such as single-cell RNA sequencing
and spatial genomics has led to unprecedented opportunities for scientific discovery, but it …
and spatial genomics has led to unprecedented opportunities for scientific discovery, but it …
Sparsified federated learning with differential privacy for intrusion detection in VANETs based on Fisher Information Matrix
With the continuous development of vehicular ad hoc networks (VANET) security, using
federated learning (FL) to deploy intrusion detection models in VANET has attracted …
federated learning (FL) to deploy intrusion detection models in VANET has attracted …
Geometric Quantification of Cell Phenotype Transition Manifolds with Information Geometry
Cell phenotype transition (CPT) plays a pivotal role in various biological processes,
particularly in development, where precise control is critical. Recent advancements in single …
particularly in development, where precise control is critical. Recent advancements in single …