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Jack Hidary
Jack Hidary
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Title
Cited by
Cited by
Year
Quantum Computing: An Applied Approach
J Hidary
2392019
Theory of deep learning III: explaining the non-overfitting puzzle
T Poggio, K Kawaguchi, Q Liao, B Miranda, L Rosasco, X Boix, J Hidary, ...
arXiv preprint arXiv:1801.00173, 2017
1262017
Tensornetwork: A library for physics and machine learning
C Roberts, A Milsted, M Ganahl, A Zalcman, B Fontaine, Y Zou, J Hidary, ...
arXiv preprint arXiv:1905.01330, 2019
1132019
Transitioning organizations to post-quantum cryptography
D Joseph, R Misoczki, M Manzano, J Tricot, FD Pinuaga, O Lacombe, ...
Nature 605 (7909), 237-243, 2022
832022
Tensornetwork for machine learning
S Efthymiou, J Hidary, S Leichenauer
arXiv preprint arXiv:1906.06329, 2019
812019
Quantum Hamiltonian-based models and the variational quantum thermalizer algorithm
G Verdon, J Marks, S Nanda, S Leichenauer, J Hidary
arXiv preprint arXiv:1910.02071, 2019
772019
Morbidity and mortality from COVID-19 post-vaccination breakthrough infections in association with vaccines and the emergence of variants in Bahrain
MAQSBAAHAMJASJJWMESJHS Mukherjee
35*2021
A surprising linear relationship predicts test performance in deep networks
Q Liao, B Miranda, A Banburski, J Hidary, T Poggio
arXiv preprint arXiv:1807.09659, 2018
352018
Theory IIIb: Generalization in deep networks
T Poggio, Q Liao, B Miranda, A Banburski, X Boix, J Hidary
arXiv preprint arXiv:1806.11379, 2018
312018
Theory of deep learning iii: the non-overfitting puzzle
T Poggio, K Kawaguchi, Q Liao, B Miranda, L Rosasco, X Boix, J Hidary, ...
CBMM Memo 73, 1-38, 2018
252018
TensorNetwork on TensorFlow: A spin chain application using tree tensor networks
A Milsted, M Ganahl, S Leichenauer, J Hidary, G Vidal
arXiv preprint arXiv:1905.01331, 2019
212019
Quantum hamiltonian-based models and the variational quantum thermalizer algorithm (2019)
G Verdon, J Marks, S Nanda, S Leichenauer, J Hidary
arXiv preprint arXiv:1910.02071 25, 1910
171910
A brief history of quantum computing
JD Hidary, JD Hidary
Quantum Computing: An Applied Approach, 15-21, 2021
142021
Theory III: Dynamics and generalization in deep networks
A Banburski, Q Liao, B Miranda, L Rosasco, F De La Torre, J Hidary, ...
arXiv preprint arXiv:1903.04991, 2019
142019
Theory of deep learning III: Dynamics and generalization in deep networks
A Banburski, Q Liao, B Miranda, T Poggio, L Rosasco, B Liang, J Hidary
Center for Brains, Minds and Machines (CBMM) Memo No 90, 2019
142019
Post-vaccination outcomes in association with four COVID-19 vaccines in the Kingdom of Bahrain
M AlQahtani, X Du, S Bhattacharyya, A Alawadi, H Al Mahmeed, ...
Scientific Reports 12 (1), 9236, 2022
122022
Complexity theory
JD Hidary, JD Hidary
Quantum computing: an applied approach, 43-50, 2021
32021
Crispr2vec: machine learning model predicts off-target cuts of crispr systems
TB Trivedi, R Boger, GM Kamath, G Evangelopoulos, J Cate, J Doudna, ...
bioRxiv, 2020.10. 28.359885, 2020
32020
Classical generalization bounds are surprisingly tight for deep networks
Q Liao, B Miranda, J Hidary, T Poggio
Center for Brains, Minds and Machines (CBMM), 2018
32018
Dirac notation
JD Hidary, JD Hidary
Quantum Computing: An Applied Approach, 377-381, 2021
22021
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