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cs.LG2025
Parametric Matrix Models
Patrick Cook, Danny Jammooa, Morten Hjorth-Jensen +2
We present a general class of machine learning algorithms called parametric matrix models. In contrast with most existing machine learning models that imitate the biology of neuron…
cs.LG2024
TimewarpVAE: Simultaneous Time-Warping and Representation Learning of Trajectories
Travers Rhodes, Daniel D. Lee
Human demonstrations of trajectories are an important source of training data for many machine learning problems. However, the difficulty of collecting human demonstration data for…