Signals 4 · free daily AI digest

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

Read on arXiv →

#353 most recent of 762 cs.LG papers we have recorded · ↑ newer: Seq-Flow: Efficient Probabilistic Forecasting with Self-Rollout Error · ↓ older: Derivative Gaussian Processes on a Two-Direction Budget
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
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
Related: More cs.LG papers · arXiv signals · All papers · Today in AI
Get 4 AI signals a day by email — free.
Subscribe free → See all plans →
Get 4 AI signals a day by email — free
All models · All repos · By company · Daily editions