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#machine learning Preprint Sep 2026

A Hybrid Attention Model Learning Unified Time-aware Patch Representation for Irregular Multivariate Time Series Forecasting

Time series foundation models (TSFMs) have recently delivered impressive zero-shot performance across diverse forecasting tasks. However, real-world decision-making frequently relies on \emph{irregular multivariate time series} (IMTS), where inconsistent inter-observation intervals and asynchronous sampling across vari...

Li Lin, Zhi-Hao Lin, Qi Zhang et al. · 0 citations
Open access Aug 2026

SIRModel: Learning Spatial Intermediate Representation to Parameter-Efficiently Fine-Tune a Vision Language Model for Manipulation

Long-horizon robotic manipulation requires a policy to bridge task-level semantic reasoning with metric three-dimensional interaction geometry. Existing vision–language–action policies usually acquire geometry implicitly from visual tokens or introduce deterministic intermediate variables only in the image plane, which...

Li Lin, Ming-Hao Shi, Teng-Long Wang · 0 citations
Jul 2026

FibVLA: An Efficient Temporal Vision-Language-Action Model with Fibonacci Sampling

FibVLA is introduced, an efficient framework featuring temporal perception of long-context history and logarithmic hindsight sampling to both proprioceptive states and visual frames to capture long-term temporal dependencies with minimal redundancy.

Li Lin, Wujun Xu, Wei Meng et al. · 1 citation

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