Beyond Bilinear Complexity: What Works and What Breaks with Many Modes?
Cornelius Brand, Radu Curticapean, Petteri Kaski, Baitian Li, Ian Orzel, Tim Seppelt, Jiaheng Wang

TL;DR
This paper investigates the complexity of multi-mode tensors, extending known bounds for 3-mode tensors to higher modes, and explores the submultiplicativity of tensor complexity under various assumptions, providing new theoretical insights.
Contribution
It generalizes bounds on tensor complexity from 3-mode to d-mode tensors and introduces the first study of asymptotic circuit complexity for tensors.
Findings
Generalized Strassen's bound to d-mode tensors
Improved bounds on asymptotic complexity for d≥4 modes
Demonstrated failure of submultiplicativity under certain conjectures
Abstract
The complexity of bilinear maps (equivalently, of -mode tensors) has been studied extensively, most notably in the context of matrix multiplication. While circuit complexity and tensor rank coincide asymptotically for -mode tensors, this correspondence breaks down for modes. As a result, the complexity of -mode tensors for larger fixed remains poorly understood, despite its relevance, e.g., in fine-grained complexity. Our paper explores this intermediate regime. First, we give a "graph-theoretic" proof of Strassen's bound on the asymptotic rank exponent of -mode tensors. Our proof directly generalizes to an upper bound of for -mode tensors. Using refined techniques available only for modes, we improve this bound beyond the current state of the art for . We also obtain a bound of on the asymptotic…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Tensor decomposition and applications · Stochastic Gradient Optimization Techniques
