Abstract: We study the notion of (additive) separability of a function of several variables with respect to a hypergraph (H-graph). We prove the existence of a unique minimal H-graph with respect to ...
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description [ICLR 2026][Learning Theory][invariant networks] This paper establishes the theorem of "universality under separation constraints" for deep invariant/equivariant networks, identifying ...
Abstract: In the field of hyperspectral unmixing (HU), to decompose mixed pixels into pure substances and their corresponding fractional abundances, the (hyper)graph constrained (D) nonnegative matrix ...
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