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Found 3 papers, 2 papers with code
Topological Attention for Time Series Forecasting
The problem of (point) forecasting $ \textit{univariate} $ time series is considered.
Connectivity-Optimized Representation Learning via Persistent Homology
In particular, we control the connectivity of an autoencoder's latent space via a novel type of loss, operating on information from persistent homology.
Deep Learning with Topological Signatures
Inferring topological and geometrical information from data can offer an alternative perspective on machine learning problems.
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