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 ...

Nvidia’s paper on its ArtFixer tool begins with a line that is absolutely incomprehensible if you’re not already AI-pilled: ...

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

Imagine standing in the emptiest place the universe has to offer, a stretch of cosmic ocean so vast that light takes tens of ...

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 ...

It appears that the List of All Adversarial Example Papers has been experiencing crashes over the past few days. In the absence of this valuable resource, staying up-to-date with the latest research ...