Conditional Flow Matching for Generation of 3D Multi-variable Instantaneous Urban Microclimate Fields
Paper recorded by Signals 4 on 2026-10-07 in cs.LG. Abstract reproduced from arXiv; link to the original below.
Published 2026-10-07 on arXiv · recorded by Signals 4 on 2026-10-08
Category: cs.LG · 机器学习 · first seen 2026-10-08
Abstract
Rapid and accurate prediction of urban wind and temperature fields is important for urban microclimate design and climate adaptation. Large-eddy simulation (LES) effectively resolves these instantaneous fields, but its application is limited in iterative design of urban microclimate applications due to high computational cost. Existing regressive data-driven models offers quick outputs, but they p
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Cite this page: Conditional Flow Matching for Generation of 3D Multi-variable Instantaneous Urban Microclimate Fields: the #353 most recent of 762 cs.LG papers we have recorded (as of 2026-10-07). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/conditional-flow-matching-for-generation-of-3d-multi-variable-instantaneous-urba.html
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