arXiv Machine Learning August 17, 2026 By Haochen Zhang, Gengwei Zhang, Laura Yao, Nicholas Knoz, Tianlong Chen

GALA: Generation-Aware Cross-Modal Alignment for Text-to-Time-Series Synthesis

Read the original on arXiv Machine Learning →

arXiv:2608. 13741v1 Announce Type: cross Abstract: Synthesizing time series from natural language is emerging as the most expressive form of controllable time series generation.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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