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News/ITNet: A Learnable Integral Transform That Subsumes Convolution, Attention, and Recurrence
arxiv
PublishedJune 19, 2026 at 4:00 AM
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ITNet: A Learnable Integral Transform That Subsumes Convolution, Attention, and Recurrence

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arXiv:2606.19538v1 Announce Type: new Abstract: Convolutional networks, recurrent networks, and transformers each encode different inductive biases -- locality, sequential memory, and content-dependent pairwise interaction -- and have remained mathematically distinct since their inception. We show t

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