Artificial Intelligence #machine learning#neural network
ITNet: A Learnable Integral Transform That Unifies Convolution, Attention, and Recurrence in One Architecture
Researchers introduce ITNet, a neural architecture built on a learnable integral transform that subsumes convolution, self-attention, and recurrence as special cases. A single ITNet with a shared operator matches or exceeds specialized models on ImageNet-1K, GLUE, ModelNet40, VQA v2, and NLVR2, enabled by efficient techniques such as tiled kernel fusion and Monte Carlo integration.
Jun 20, 2026 1 source