Rekodi ya ushahidi wa mbinu

TimesFM

TimesFM is a pre-trained foundation model for univariate time-series forecasting introduced by Abhimanyu Das, Weihao Kong, Rajat Sen, and Yichen Zhou from Google in 2024. The model adopts a decoder-only transformer architecture, similar in spirit to large language models, and is trained on a large corpus of real-world and synthetic time-series data. Its central innovation is the ability to perform accurate zero-shot forecasting across diverse domains without task-specific fine-tuning.

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TimesFM (Time-series Foundation Model)

Rekodi ya mbinu ya kiajenda · ml-model / deep-learning

Das, A., Kong, W., Sen, R., & Zhou, Y. (2024). A decoder-only foundation model for time-series forecasting. ICML. · URL

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Taxonomic bucketChronosmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMoiraimachine-suggested · Relational suggestion, not evidence.Same method familyPatchTSTmachine-suggested · Relational suggestion, not evidence.