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cs.LG2026
Anomaly Detection from a Tensor Train Perspective
Alejandro Mata Ali, Aitor Moreno Fdez. de Leceta, Jorge López Rubio
We present a series of algorithms in tensor networks for anomaly detection in datasets, by using data compression in a Tensor Train representation. These algorithms consist of pres…
cs.LG2026★ 1 cited
Efficient Finite Initialization with Partial Norms for Tensorized Neural Networks and Tensor Networks Algorithms
Alejandro Mata Ali, Iñigo Perez Delgado, Marina Ristol Roura +1
We present two algorithms to initialize layers of tensorized neural networks and general tensor network algorithms using partial computations of their Frobenius norms and positive…