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09/11/2023
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models
In the context of kernel machines, polynomial and Fourier features are c...
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05/09/2023
How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression?
Tensor decompositions have been successfully applied to compress neural ...
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05/25/2022
Towards Green AI with tensor networks – Sustainability and innovation enabled by efficient algorithms
The current standard to compare the performance of AI algorithms is main...
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10/26/2021
Tensor Network Kalman Filtering for Large-Scale LS-SVMs
Least squares support vector machines are a commonly used supervised lea...
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09/03/2021
Large-Scale Learning with Fourier Features and Tensor Decompositions
Random Fourier features provide a way to tackle large-scale machine lear...
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12/21/2020
Alternating linear scheme in a Bayesian framework for low-rank tensor approximation
Multiway data often naturally occurs in a tensorial format which can be ...
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03/17/2020
Nonlinear system identification with regularized Tensor Network B-splines
This article introduces the Tensor Network B-spline model for the regula...
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01/02/2020
Kernelized Support Tensor Train Machines
Tensor, a multi-dimensional data structure, has been exploited recently ...
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12/20/2019
MERACLE: Constructive layer-wise conversion of a Tensor Train into a MERA
In this article two new algorithms are presented that convert a given da...
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08/07/2019
Faster Tensor Train Decomposition for Sparse Data
In recent years, the application of tensors has become more widespread i...
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11/12/2018
Matrix Product Operator Restricted Boltzmann Machines
A restricted Boltzmann machine (RBM) learns a probability distribution o...
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11/09/2018
Deep Compression of Sum-Product Networks on Tensor Networks
Sum-product networks (SPNs) represent an emerging class of neural networ...
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11/09/2018
The trouble with tensor ring decompositions
The tensor train decomposition decomposes a tensor into a "train" of 3-w...
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04/17/2018
Fast and Accurate Tensor Completion with Total Variation Regularized Tensor Trains
We propose a new tensor completion method based on tensor trains. The to...
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04/17/2018
Fast and Accurate Tensor Completion with Tensor Trains: A System Identification Approach
We propose a novel tensor completion approach by equating it to a system...
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04/17/2018
A Support Tensor Train Machine
There has been growing interest in extending traditional vector-based ma...
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07/25/2017
Computing low-rank approximations of large-scale matrices with the Tensor Network randomized SVD
We propose a new algorithm for the computation of a singular value decom...
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12/20/2016
