Apple researchers figured out a way to speed up AI speech generation from text without sacrificing audio quality or breaking intelligibility.
Researchers combined two types of generative AI models, an autoregressive model and a diffusion model, to create a tool that leverages the best of each model to rapidly generate high-quality images.
Spatial econometrics addresses the challenges posed by spatially correlated data, enabling researchers to understand and quantify how economic phenomena in one location can influence those in ...
Artificial intelligence has reached a point where it can compose text that sounds so human that it dupes most people into thinking it was written by another person. These AI programs—based on what are ...
Polygonal meshes are widely used in computer graphics, robotics, and game development to represent virtual objects and scenes. Exisitng learning-based methods for 3D object generation have relied on ...
Buffered Autoregressive Models With Conditional Heteroscedasticity: An Application to Exchange Rates
This article introduces a new model called the buffered autoregressive model with generalized autoregressive conditional heteroscedasticity (BAR-GARCH). The proposed model, as an extension of the BAR ...
This is a preview. Log in through your library . Abstract We introduce a discrete time model for electricity prices which accounts for both transitory spikes and temperature effects. The model allows ...
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