Ivan Glasser

According to our database, Ivan Glasser authored at least 5 papers between 2018 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

From Probabilistic Graphical Models to Generalized Tensor Networks for Supervised Learning.

Ivan Glasser, Nicola Pancotti, J. Ignacio Cirac

IEEE Access, 2020

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, Christian B. Mendl, Evert P. L. van Nieuwenburg, Ossian O'Reilly, Hugo Théveniaut, Giacomo Torlai, Filippo Vicentini, Alexander Wietek

SoftwareX, 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

Expressive power of tensor-network factorizations for probabilistic modeling.

Ivan Glasser, Ryan Sweke, Nicola Pancotti, Jens Eisert, J. Ignacio Cirac

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Supervised learning with generalized tensor networks.

Ivan Glasser, Nicola Pancotti, J. Ignacio Cirac

CoRR, 2018