Abstract: Map matching is the process of positioning each point of a mobility trajectory on a digital map. A mobility trajectory is nothing more than a sequence of points characterized by latitude, ...

As one of the cutting-edge research areas in modern physics, space-based gravitational wave detection aims at capturing gravitational wave signals in the mHz frequency band. A key technological ...

This is an unofficial implementation and corresponding experiments on Flow Generator Matching (FGM) - an innovative approach designed to accelerate the sampling of flow-matching models into a one-step ...

Abstract: The spaceborne synthetic aperture radar (SAR) terrain matching curved imaging is characterized by using a swath that always matches the terrain, requiring the implementation of 2-D beam ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Flow Matching is a recent generative modeling framework that learns a continuous vector field v_theta(x, t) to transport samples from noise (t=0) to data (t=1) along straight-line paths. Compared to ...

With orderbook DEXs the order-matching process still mirrors those of popular CeFi/TradFi matching systems. In DeFi, we want everything decentralized, secure, efficient, and transparent. In essence, a ...

Ali Hussain has a background that consists of a career in finance with large financial institutions and in journalism covering business. Vikki Velasquez is a researcher and writer who has managed, ...