In the first-ever dual-language Discover Science Lecture Series talk, Dr. Massa will share how Ecoatoms is designing automated payloads, small "habitats," that transform any spacecraft into a ...
Abstract: Due to the large number of monitoring variables in engineering, it is extremely to reflect fault information in machinery and equipment with a single channel signal, which poses a ...
Abstract: Recently, multivariate time series (MTS) clustering has gained lots of attention. However, state-of-the-art algorithms suffer from two major issues. First, few existing studies consider ...
The code repository for SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion in PyTorch. A scalable pure MLP model that achieves state-of-the-art performance on multivariate ...
This repo is the official Pytorch implementation of Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators. We propose a parameter-efficient baseline ...
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