AI-Powered Approaches for Hypersurface Reconstruction in Multidimensional Spaces
The present article explores the possibilities of using artificial neural networks to solve problems related to reconstructing complex geometric surfaces in Euclidean and pseudo-Euclidean spaces, examining various approaches and techniques for training ...
Kostadin Yotov +3 more
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Integral Betti signatures of brain, climate and financial networks compared to hyperbolic, Euclidean and spherical models. [PDF]
Caputi L, Pidnebesna A, Hlinka J.
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Searching in Euclidean Spaces with Predictions. [PDF]
Cabello S, Giannopoulos P.
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Hyperbolic adaptive spatial-aware multivariate time series anomaly detection. [PDF]
Han J +7 more
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Ancestral Sequences Cannot be Accurately Reconstructed via Interpolation in a Variational Autoencoder's Latent Space. [PDF]
Gorstein E +3 more
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Multi-omic enriched blood-derived digital signatures reveal mechanistic and confounding disease clusters for differential diagnosis. [PDF]
Liu B +3 more
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Probabilistic Residual Modeling for Sensor-Based Process-Quality Fault Detection in Industrial Systems. [PDF]
Zhang L, Bao X.
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Research on a lead-acid battery fault detection method based on LSTM-AE-Cosine. [PDF]
Liu L +5 more
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RiemannInfer: improving transformer inference through Riemannian geometry. [PDF]
Mao R +5 more
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Music Listening Is an Action Verb: Phoronomy, Sound Tracking and Morphodynamic Transformation. [PDF]
Reybrouck M.
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