903 citations · 2.5k across the 78 of their papers we have counts for
4 papers · 1 filter
Simple and Efficient Parallelization for Probabilistic Temporal Tensor Factorization
Guangxi Li, Zenglin Xu, Linnan Wang +3
Probabilistic Temporal Tensor Factorization (PTTF) is an effective algorithm to model the temporal tensor data. It leverages a time constraint to capture the evolving properties of…
Tensor Decomposition via Variational Auto-Encoder
Bin Liu, Zenglin Xu, Yingming Li
Tensor decomposition is an important technique for capturing the high-order interactions among multiway data. Multi-linear tensor composition methods, such as the Tucker decomposit…
Efficient Communications in Training Large Scale Neural Networks
Linnan Wang, Wei Wu, George Bosilca +2
We consider the problem of how to reduce the cost of communication that is required for the parallel training of a neural network. The state-of-the-art method, Bulk Synchronous Par…
Distributed Flexible Nonlinear Tensor Factorization
Shandian Zhe, Kai Zhang, Pengyuan Wang +4
Tensor factorization is a powerful tool to analyse multi-way data. Compared with traditional multi-linear methods, nonlinear tensor factorization models are capable of capturing mo…