This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...

A discussion of the current landscape of generative AI (GenAI) patent drafting tools, including the differences between fully ...

This paper presents FLOAT, an audio-driven talking portrait video generation method based on flow matching generative model. We shift the generative modeling from the pixel-based latent space to a ...

Money flow is the average of the high, low, and closing prices of a security multiplied by daily volume. Positive money flow suggests a potential price increase, while negative flow hints at a ...

Financing cash flow was -367.71 million USD in the latest quarter, changing by -188.59% compared to the previous quarter. What was Match Group’s levered free cash flow in the latest quarter? Levered ...

Abstract: Given the high cost associated with directly measuring the Traffic Matrix (TM), researchers have devoted efforts to devising methods for estimating the complete TM from low-cost link loads ...

Computer science is the study and development of the protocols required for automated processing and manipulation of data. This includes, for example, creating algorithms for efficiently searching ...

Abstract: Building on the success of diffusion models in visual generation, flow-based models reemerge as another prominent family of generative models that have achieved competitive or better ...

Conditional Flow Matching (CFM) trains neural velocity fields using single-sample conditional velocities. While unbiased, these targets can exhibit high variance, especially when the marginal ...

Neural ODEs unify continuous dynamics and neural networks to model cellular dynamics in single-cell omics. This review surveys applications from trajectory modling to gene regulatory network inference ...