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5 days ago · DeepTensor is a computationally efficient framework for low-rank decomposition of matrices and tensors using deep generative networks. We decompose a tensor ...
Missing: Implications | Show results with:Implications
3 days ago · A small reader for Tomotoshi Nishino's selection of papers on tensor networks.
2 days ago · For transient problems, the use of high order methods provides several advantages due to the low dissipation and dispersion errors associated to these schemes.
Missing: Implications | Show results with:Implications
1 day ago · We propose a novel algorithm ASER, which includes error reconstruction using whitening SVD, and activation smoothing with outlier analysis. Report issue for ...
Missing: Implications | Show results with:Implications
2 days ago · RTN quantizes each weight inde- pendently by rounding it to the nearest integer, but it overlooks the relationships between weights and between weights and ...
Missing: Novel Factorization
9 hours ago · Tensor exponents are fundamental from the standpoint of algorithms and computational complexity theory; for example, the exponent ω of matrix multiplication can ...
6 days ago · We now turn to the discoveries of hydride superconductors in the past two decades, mostly driven by the first-principles computational methods and workflow. It ...
2 days ago · Construct a Transformer-based encoder and decoder for text transmission at the semantic level. GAIs are effective for feature compression and recovery in ...
Missing: Implications | Show results with:Implications
4 days ago · Parallel sparse Cholesky factorization is the method of choice for solving such linear systems.
Missing: Implications | Show results with:Implications
6 days ago · Adhikary, H. Measurements of higher-order cumulants of multiplicity and net-electric charge distributions in inel. FERMILAB-CONF-23-0877-T, Gustafson, Erik ...