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Yan-Kai Lin

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#machine learning Preprint Sep 2026

A Distributional Optimisation Perspective on Combining Models in Deep Learning

Combining predictions from different models can improve performance at machine learning tasks, but the training of the individual models and the rule used to combine them are typically chosen separately, and by ad hoc means. Recent advances in distributional optimisation (i.e. where the optimisation occurs over the set...

Cong-Ye Wang, Yan-Kai Lin, Zhe-Yang Shen et al. · 0 citations

#machine learning Preprint Sep 2026

SimpleMemVLA: A Simple but Effective Native-Video Memory for Vision-Language-Action Models

SimpleMemVLA, a VLA without a dedicated memory module that uses the backbone's native video context directly as memory, achieves state-of-the-art results on four memory benchmarks without loss on general-purpose control, and with the same backbone and training setup it outperforms retrieval, compression and recurrent-s...

C. Yin, Wang Xu, Jun-Peng Yang et al. · 1 citation