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03/04/2020
Forecasting Sequential Data using Consistent Koopman Autoencoders
Recurrent neural networks are widely used on time series data, yet such ...
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04/01/2018
Sparse Principal Component Analysis via Variable Projection
Sparse principal component analysis (SPCA) has emerged as a powerful tec...
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02/23/2018
Diffusion Maps meet Nyström
Diffusion maps are an emerging data-driven technique for non-linear dime...
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03/27/2017
