Methods and systems for quantum computing M Dadashikelayeh, A ZARIBAFIYAN, S Karimi, P RONAGH US Patent App. 10/044,638, 2018 | 159* | 2018 |
Methods and systems for quantum computing M Dadashikelayeh, A Zaribafiyan, S Karimi, P Ronagh US Patent App. 15/830,953, 2018 | 40 | 2018 |
Methods and systems for quantum computing M Dadashikelayeh, A Zaribafiyan, S Karimi, P Ronagh US Patent App. 15/830,953, 2018 | 40 | 2018 |
Practical integer-to-binary mapping for quantum annealers S Karimi, P Ronagh Quantum Information Processing 18 (4), 94, 2019 | 32 | 2019 |
IMRO: A Proximal Quasi-Newton Method for Solving -Regularized Least Squares Problems S Karimi, S Vavasis SIAM Journal on Optimization 27 (2), 583-615, 2017 | 26 | 2017 |
Methods and systems for setting a system of super conducting qubits having a hamiltonian representative of a polynomial on a bounded integer domain S Karimi, P Ronagh US Patent App. 15/165,655, 2017 | 20 | 2017 |
A unified convergence bound for conjugate gradient and accelerated gradient S Karimi, SA Vavasis arXiv preprint arXiv:1605.00320, 2016 | 20 | 2016 |
Methods and systems for quantum computing M Dadashikelayeh, A ZARIBAFIYAN, S Karimi, P RONAGH US Patent App. 16/010,244, 2018 | 14 | 2018 |
A single potential governing convergence of conjugate gradient, accelerated gradient and geometric descent S Karimi, S Vavasis arXiv preprint arXiv:1712.09498, 2017 | 12 | 2017 |
Method and system for solving the lagrangian dual of a binary polynomially constrained polynomial programming problem using a quantum annealer S Karimi, P Ronagh US Patent App. 15/051,271, 2017 | 12 | 2017 |
A subgradient approach for constrained binary optimization via quantum adiabatic evolution S Karimi, P Ronagh Quantum Information Processing 16 (8), 185, 2017 | 11 | 2017 |
Training Set Cleansing of Backdoor Poisoning by Self-Supervised Representation Learning H Wang, S Karami, O Dia, H Ritter, E Emamjomeh-Zadeh, J Chen, ... ICASSP (IEEE International Conference on Acoustics, Speech and Signal …, 2023 | 5 | 2023 |
Nonlinear conjugate gradient for smooth convex functions S Karimi, S Vavasis arXiv preprint arXiv:2111.11613, 2021 | 4 | 2021 |
Conjugate gradient with subspace optimization S Karimi, S Vavasis Arxiv preprint arXiv 1202, 2012 | 4 | 2012 |
Method and system for solving the lagrangian dual of a binary polynomially constrained polynomial programming problem using a quantum annealer S Karimi, P Ronagh US Patent App. 16/811,479, 2020 | 3 | 2020 |
On the relationship between conjugate gradient and optimal first-order methods for convex optimization S Karimi University of Waterloo, 2014 | 3 | 2014 |
A subgradient approach for constrained binary programming via quantum adiabatic evolution. S Karimi, P Ronagh arXiv preprint arXiv:1605.09462, 2016 | 2 | 2016 |
Detecting and correcting the loss of independence in nonlinear conjugate gradient S Karimi, S Vavasis arXiv preprint arXiv:1202.1479, 2012 | 1 | 2012 |
RouBL: A computationally efficient way to go beyond mean-field variational inference A Flower, B Gokkaya, S Karimi, IK Kabul, E Meijer ICML 2021 Workshop on Uncertainty and Robustness in Deep Learning, 2021, 0 | 1* | |
Favour: FAst Variance Operator for Uncertainty Rating TD Ahle, S Karimi, PTP Tang arXiv preprint arXiv:2311.13036, 2023 | | 2023 |