Google releases TimesFM-3 multivariate time series model
September 3, 2026
Google's 330M-parameter decoder-only transformer supports native multivariate forecasting through alternating causal and full attention layers. It generates 9 quantiles in a single forward pass by using masked placeholder tokens for the forecast horizon.
HOW THIS AFFECTS YOU
●
builderYou can implement zero-shot multivariate forecasting without the overhead of fine-tuning for specific datasets.
●
researcherThe non-autoregressive, single-pass forecasting method provides a new architectural pattern for time-series tasks.