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TimesFM-3

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Oct 10, 2026 · Artificial Intelligence

Google TimesFM-3: Native Multivariate Forecasting with Alternating Attention

Google's TimesFM-3 introduces native multivariate time series forecasting with alternating causal temporal and full variate attention, non-autoregressive decoding via contiguous patch masking, and support for historical and future-known covariates, achieving top rankings on Gift-Eval, FEV-Bench, and TIME benchmarks without sacrificing univariate performance.

Google ResearchTimesFM-3alternating attention

0 likes · 12 min read

Google TimesFM-3: Native Multivariate Forecasting with Alternating Attention

DeepHub IMBA

Sep 4, 2026 · Artificial Intelligence

TimesFM-3: Google's Native Multivariate Forecasting with One-Pass Decoding

Google's TimesFM-3 introduces native multivariate time series forecasting with non-autoregressive decoding, enabling joint predictions across multiple targets and covariates in a single forward pass, outperforming competitors on benchmarks while offering zero-shot generalization and probabilistic outputs.

Foundation ModelsProbabilistic ForecastingTime Series Forecasting

0 likes · 15 min read

TimesFM-3: Google's Native Multivariate Forecasting with One-Pass Decoding