Abstract: The discriminative model learning for image denoising has been recently attracting considerable attentions due to its favorable denoising performance. In this paper, we take one step forward ...

Abstract: Gaussian process (GP) models are powerful tools for Bayesian classification, but their limitation is the high computational cost. Existing approximation methods to reduce the cost of GP ...

Kun Zhang is a professor in the CMU philosophy department and an affiliate faculty member in the machine learning department. His research interests lie in machine learning and artificial intelligence ...

Homogeneous Gaussian Splatting (HoGS) uses homogeneous coordinates in the 3D Gaussian Splatting (3DGS) framework to represent both positions and scales. Homogeneous coordinates defined in the ...

Suliu Qin, Haomin Zhuang, Yujun Zhou, Yufei Han, Xiangliang Zhang The Hamilton-Jacobi Theory of Deep Learning Jose Marie Antonio Miñoza, Erika Fille T. Legara, Christopher P. Monterola Measuring ...

Houdini 22 adds KineFX, APEX rigging, Gaussian Splats, Karma updates, Solaris work, MCP and UI improvements for production ...