Supervised learning with generalized tensor networks. - Ivan Glasser; Nicola Pancotti; J. Ignacio Cirac (CoRR, 2018)

Expressive power of tensor-network factorizations for probabilistic modeling. - Ivan Glasser; Ryan Sweke; Nicola Pancotti; Jens Eisert; J. Ignacio Cirac (NeurIPS, 2019)

Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning. - Ivan Glasser; Ryan Sweke; Nicola Pancotti; Jens Eisert; J. Ignacio Cirac (CoRR, 2019)

NetKet: A machine learning toolkit for many-body quantum systems. - Giuseppe Carleo; Kenny Choo; Damian Hofmann; James E. T. Smith; Tom Westerhout; Fabien Alet; Emily J. Davis; Stavros Efthymiou; Ivan Glasser; Sheng-Hsuan Lin; Marta Mauri; Guglielmo Mazzola; et al. (SoftwareX, 2019)

From Probabilistic Graphical Models to Generalized Tensor Networks for Supervised Learning. - Ivan Glasser; Nicola Pancotti; J. Ignacio Cirac (IEEE Access, 2020)