1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
NODER: Image Sequence Regression Based on Neural Ordinary Differential Equations
Hao Bai, Yi Hong
Regression on medical image sequences can capture temporal image pattern changes and predict images at missing or future time points. However, existing geodesic regression methods…
physics.atom-ph2024
Highly Accurate Description of Long-Range Interactions through the Combination of Neural Networks and Physical Models
Yingyue Hong, Jiayu Huang, Dong H. Zhang
We present a simple and general way to accurately describe long-range interactions between atoms and molecules through combining neural networks with physical models. Demonstration…
cs.CV2015★ 1 cited
Parametric Regression on the Grassmannian
Yi Hong, Nikhil Singh, Roland Kwitt +2
We address the problem of fitting parametric curves on the Grassmann manifold for the purpose of intrinsic parametric regression. As customary in the literature, we start from the…