Jack Hidary

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 10

Top Topics

Machine Learning

Linear Relationship

Top Venues

Publications

David Joseph, Rafael Misoczki, Marc Manzano, Joe Tricot, Fernando Dominguez Pinuaga, Olivier Lacombe, Stefan Leichenauer, Jack Hidary, Phil Venables, Royal Hansen
Transitioning organizations to post-quantum cryptography. Nat. 605 (7909) (2022)
Guillaume Verdon, Trevor McCourt, Enxhell Luzhnica, Vikash Singh, Stefan Leichenauer, Jack Hidary
Quantum Graph Neural Networks. CoRR (2019)
Andrzej Banburski, Qianli Liao, Brando Miranda, Lorenzo Rosasco, Bob Liang, Jack Hidary, Tomaso A. Poggio
Theory III: Dynamics and Generalization in Deep Networks. CoRR (2019)
Ashley Milsted, Martin Ganahl, Stefan Leichenauer, Jack Hidary, Guifre Vidal
TensorNetwork on TensorFlow: A Spin Chain Application Using Tree Tensor Networks. CoRR (2019)
Guillaume Verdon, Jacob Marks, Sasha Nanda, Stefan Leichenauer, Jack Hidary
Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm. CoRR (2019)
Stavros Efthymiou, Jack Hidary, Stefan Leichenauer
TensorNetwork for Machine Learning. CoRR (2019)
Chase Roberts, Ashley Milsted, Martin Ganahl, Adam Zalcman, Bruce Fontaine, Yijian Zou, Jack Hidary, Guifre Vidal, Stefan Leichenauer
TensorNetwork: A Library for Physics and Machine Learning. CoRR (2019)
Tomaso A. Poggio, Qianli Liao, Brando Miranda, Andrzej Banburski, Xavier Boix, Jack Hidary
Theory IIIb: Generalization in Deep Networks. CoRR (2018)
Qianli Liao, Brando Miranda, Andrzej Banburski, Jack Hidary, Tomaso A. Poggio
A Surprising Linear Relationship Predicts Test Performance in Deep Networks. CoRR (2018)
Tomaso A. Poggio, Kenji Kawaguchi, Qianli Liao, Brando Miranda, Lorenzo Rosasco, Xavier Boix, Jack Hidary, Hrushikesh N. Mhaskar
Theory of Deep Learning III: explaining the non-overfitting puzzle. CoRR (2018)