Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

We investigate a novel approach to approximate tensor-network contraction via the exact, matrix-free decomposition of full tensor-networks. We study this method as a means to eliminate the propagat ...

We investigate the efficient combination of the canonical polyadic decomposition (CPD) and tensor hyper-contraction (THC) approaches. We first present a novel low-cost CPD solver that leverages a ...

Function uses global tensor_normal stats to normalize ALL tensors, creating severe data leakage. def normalize_tensor_feature(tensor, feature_index): # MAJOR ISSUE: Using tensor_normal for ALL tens ...

Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the ...

First, it utilizes Khatri-Rao factorization to reshape the feature learning problem into tensor form which intends to break the feature factor matrix into small pieces and make the problem feasible in ...

Researchers from Huawei Technologies introduced a novel algorithm called MatMulScan to address these challenges, specifically designed for the Tensor Core Unit model. The algorithm leverages the ...

Tensor’s Vector.fun app combines SocialFi with meme coin trading, targeting Gen Z and “normies” with a community-centric experience. After a high-demand early access launch, Tensor aims to redefine ...

The makers of Solana NFT marketplace Tensor are teasing a new SocialFi app called Vector.fun, which could be poised to take on Pump.fun.

ABSTRACT: In this paper, the solution of the matrix second semi-tensor product equation A ∘ l X ∘ l B=C is studied. Firstly, the solvability of the matrix-vector second semi-tensor product equation is ...