Model Detail
Harmonic-27B-GGUF
—Conditional anomaly detection using soft harmonic functions: An application to clinical alerting
arXiv:2604.21956v1 Announce Type: new Abstract: Timely detection of concerning events is an important problem in clinical practice. In this paper, we consider the problem of conditional anomaly detection that aims to identify data instances with an unusual response, such as the omission of an import
Neural Harmonic Textures for High-Quality Primitive Based Neural Reconstruction
arXiv:2604.01204v2 Announce Type: replace-cross Abstract: Primitive-based methods such as 3D Gaussian Splatting have recently become the state-of-the-art for novel-view synthesis and related reconstruction tasks. Compared to neural fields, these representations are more flexible, adaptive, and scale
Spectral Path Regression: Directional Chebyshev Harmonics for Interpretable Tabular Learning
arXiv:2604.04091v1 Announce Type: new Abstract: Classical approximation bases such as Chebyshev polynomials provide principled and interpretable representations, but their multivariate tensor-product constructions scale exponentially with dimension and impose axis-aligned structure that is poorly ma
