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06/14/2023
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
Transformers have gained popularity in time series forecasting for their...
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06/01/2023
An End-to-End Time Series Model for Simultaneous Imputation and Forecast
Time series forecasting using historical data has been an interesting an...
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11/27/2022
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
We propose an efficient design of Transformer-based models for multivari...
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12/10/2021
Interpretable Clustering via Multi-Polytope Machines
Clustering is a popular unsupervised learning tool often used to discove...
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07/11/2020
Federated Learning's Blessing: FedAvg has Linear Speedup
Federated learning (FL) learns a model jointly from a set of participati...
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01/09/2018
Development of a spectral source inverse model by using generalized polynomial chaos
We present a spectral inverse model to estimate a smooth source function...
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03/27/2013
