Neural Information Processing Systems http://nips.cc/

Inthis paper,wefirst clarify themathematical connection between the SW distance and the Radon transform. We then utilize the generalized Radon transform to define a new family of distances for probability measures, which we call generalized sliced-Wasserstein (GSW) distances.

The structure of protein-protein complexes is critical for understanding binding dynamics, biological mechanisms, and intervention strategies.

Finally,we test the RMC on asuite oftasks that may profit from more capable relational reasoning across sequential information, andshowlargegains inRLdomains(e.g.

In this paper, we propose AutoPalette, a framework that minimizes color redundancy at the individual image and overall dataset levels, respectively. At the image level, we employ a palette network, a specialized neural network, to dynamically allocate colors from a reduced color space to each pixel. The palette network identifies essential areas in synthetic images for model training and consequently assigns more unique colors to them. At the dataset level, we develop a color-guided initialization strategy to minimize redundancy among images.

Neural Information Processing Systems http://nips.cc/

Neural Information Processing Systems http://nips.cc/