3 citations · 3 across the 9 of their papers we have counts for
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cs.LG2024★ 3 cited
Very Basics of Tensors with Graphical Notations: Unfolding, Calculations, and Decompositions
Tatsuya Yokota
Tensor network diagram (graphical notation) is a useful tool that graphically represents multiplications between multiple tensors using nodes and edges. Using the graphical notatio…
cs.LG2024
Broadcast Product: Redefining Shape-aligned Element-wise Multiplication and Beyond
Yusuke Matsui, Tatsuya Yokota
Broadcast operations are widely used in scientific computing libraries, yet their mathematical formulation is often implicit and inconsistently represented in machine learning lite…
cs.LG2024
Adaptive Block Sparse Regularization under Arbitrary Linear Transform
Takanobu Furuhashi, Hidekata Hontani, Tatsuya Yokota
We propose a convex and fast signal reconstruction method for block sparsity under arbitrary linear transform with unknown block structure. The proposed method is a generalization…