Stochastic modeling has become an indispensable tool in understanding and forecasting the spread of infectious diseases under real-world uncertainties. Unlike deterministic frameworks that assume ...

Traditional models for analyzing microbial communities often rely on average microbial abundance over time. While these models can predict temporal changes effectively, they often fail to capture the ...

FlowWM stochastic world modeling via flow matching in DINOv3 feature space, with the FuturePerception (Waymo) benchmark. - ...