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cs.LG2026
LORE: Jointly Learning the Intrinsic Dimensionality and Relative Similarity Structure From Ordinal Data
Vivek Anand, Alec Helbling, Mark A. Davenport +3
Learning the intrinsic dimensionality of subjective perceptual spaces such as taste, smell, or aesthetics from ordinal data is a challenging problem. We introduce LORE (Low Rank Or…
cs.LG2024
Inferring the time-varying coupling of dynamical systems with temporal convolutional autoencoders
Josuan Calderon, Gordon J. Berman
Most approaches for assessing causality in complex dynamical systems fail when the interactions between variables are inherently non-linear and non-stationary. Here we introduce Te…