von Mises-Fisher distribution
PulseAugur coverage of von Mises-Fisher distribution — every cluster mentioning von Mises-Fisher distribution across labs, papers, and developer communities, ranked by signal.
-
New MARGIN framework enhances imbalanced software vulnerability detection
Researchers have introduced MARGIN, a novel framework designed to improve software vulnerability detection, particularly for datasets with imbalanced frequencies and difficulties. MARGIN reinterprets these challenges th…
-
New method uses heat-kernel entropy for manifold analysis
Researchers have developed a new method called heat-kernel entropy profiles to analyze weighted empirical measures on compact manifolds. This technique diffuses weighted atoms using intrinsic heat flow to track nonunifo…
-
New vMFProto framework enhances interpretable AI classification
Researchers have introduced vMFProto, a novel framework for interpretable classification that models classes as mixtures of von Mises-Fisher components on a hypersphere. This approach captures part-specific variability …
-
New Transformer Architecture Integrates Attractor Dynamics for Enhanced Performance
Researchers have introduced the Controlled Dynamics Attractor Transformer (CDAT), a novel architecture that merges transformer self-attention mechanisms with associative memory frameworks. CDAT integrates a mixture von …
-
New hyperspherical VAE uses spherical Cauchy distribution
Researchers have introduced a new method for variational autoencoders designed for hyperspherical latent spaces, utilizing an efficient spherical Cauchy distribution. This approach offers a robust and scalable alternati…
-
MSD-Score metric improves image caption evaluation without references
Researchers have developed MSD-Score, a novel method for evaluating image captions without needing reference captions. This approach models image patch and text token embeddings as distributions, enabling a more nuanced…
-
Researchers propose spherical flows for improved categorical data sampling
Researchers have developed a new method for learning generative models of discrete sequences by operating on a sphere instead of Euclidean space. This approach utilizes the von Mises-Fisher distribution to create a natu…