Progressive Entropic Optimal Transport Solvers
Optimal transportation (OT) has had a profound impact on machine learning by providing theoretical and computational tools to realign data ...
Tag: solvers
Revolutionizing multivariate long-term time series forecasting: Introducing PDETime, a novel machine learning approach that leverages PDE neural solvers to achieve unparalleled accuracy
Multivariate time series forecasting is the cornerstone of countless applications, ranging from weather prediction to energy consumption management in today's ...
Imbalanced and low-rank optimal transport solvers
Two prominent limitations have long hampered the relevance of optimal transport methods for machine learning. First the computational cost of ...
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