Aug 7, 2019 · This paper proposes a new quasi-best fast TT decomposition algorithm for large-scale sparse tensors with proven correctness and the upper bound of its ...

May 15, 2022 · This paper proposes a new quasi-optimal fast TT decomposition algorithm for large-scale sparse tensors with proven correctness and the upper bound of ...

In this work, we propose a fast and effective TT decomposition algorithm specifically for large sparse data tensors. It includes the steps of constructing an ...

In this work, we propose a fast and effective TT decomposition algorithm specifically for large sparse data tensors. It includes the steps of constructing an ...

Based on previous research, this paper proposes a new quasi-optimal fast TT decomposition algorithm for large-scale sparse tensors with proven correctness and ...

Based on previous research, this paper proposes a new quasi-optimal fast TT decomposition algorithm for large-scale sparse tensors with proven correctness and ...

This package performs a faster tensor train (TT) decomposition for large sparse data. It can be several times to several tens time faster than the widely-used ...

Aug 7, 2019 · Based on previous research, this paper proposes a new quasi-optimal fast TT decomposition algorithm for large-scale sparse tensors with proven ...

A new computationally efficient algorithm that aims to estimate the low tensor-train rank structure from the noisy high-order tensor observation, ...

Jun 28, 2023 · Scientists made tensor train decomposition faster and more accurate · Tensor trains. One way to circumvent this problem is an algorithm based on ...