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We introduce Timer-M1, a pretrained multivariate time series foundation model that learns with primitives for zero-shot forecasting. Across domains, time series share elementary temporal and relational patterns, termed primitives, yet differ in how these primitives manifest and evolve across different contexts. Despite...
Across five well-established PDE benchmarks spanning steady-state prediction and time-dependent dynamics, Transolver$ achieves state-of-the-art with a benchmark-averaged relative error reduction of 33.4% over the strongest baseline for each metric, while consistently improving autoregressive rollout over single-operato...
PhysFieldBench is introduced, a benchmark comprising 24 tasks and 1,160 evaluation examples across controlled equation fields, simulated physical fields, and observed physical fields that highlights the need to improve visual-to-physical grounding and cross-task generalization for MLLMs to reliably interpret physical f...
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