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2020 – today
- 2020
[j2]Ivan Glasser
, Nicola Pancotti, J. Ignacio Cirac:
From Probabilistic Graphical Models to Generalized Tensor Networks for Supervised Learning. IEEE Access 8: 68169-68182 (2020)
2010 – 2019
- 2019
- [j1]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, Christian B. Mendl, Evert P. L. van Nieuwenburg, Ossian O'Reilly, Hugo Théveniaut, Giacomo Torlai, Filippo Vicentini, Alexander Wietek:
NetKet: A machine learning toolkit for many-body quantum systems. SoftwareX 10: 100311 (2019) - [c1]Ivan Glasser, Ryan Sweke, Nicola Pancotti, Jens Eisert, J. Ignacio Cirac:
Expressive power of tensor-network factorizations for probabilistic modeling. NeurIPS 2019: 1496-1508 - [i2]Ivan Glasser, Ryan Sweke, Nicola Pancotti, Jens Eisert, J. Ignacio Cirac:
Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning. CoRR abs/1907.03741 (2019) - 2018
- [i1]Ivan Glasser, Nicola Pancotti, J. Ignacio Cirac:
Supervised learning with generalized tensor networks. CoRR abs/1806.05964 (2018)
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