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2020 – today
- 2024
[j7]Jack S. Baker, Gilchan Park
, Kwangmin Yu, Ara Ghukasyan, Oktay Göktas, Santosh Kumar Radha:
Parallel hybrid quantum-classical machine learning for kernelized time-series classification. Quantum Mach. Intell. 6(1): 18 (2024)- [i5]Mohammad Atif, Pulkit Dubey, Pratik P. Aghor, Vanessa López-Marrero, Tao Zhang, Abdullah Sharfuddin, Kwangmin Yu, Fan Yang, Foluso Ladeinde, Yangang Liu, Meifeng Lin, Lingda Li:
Fourier neural operators for spatiotemporal dynamics in two-dimensional turbulence. CoRR abs/2409.14660 (2024) - 2023
- [j6]Gilchan Park, Kun Zhang, Kwangmin Yu, Vladimir E. Korepin:
Quantum multi-programming for Grover's search. Quantum Inf. Process. 22(1): 54 (2023) - 2022
- [j5]Kwangmin Yu, Prabhat Kumar, Shaohua Yuan, Aiqi Cheng, Roman Samulyak:
SPACE: 3D parallel solvers for Vlasov-Maxwell and Vlasov-Poisson equations for relativistic plasmas with atomic transformations. Comput. Phys. Commun. 277: 108396 (2022) - 2021
- [j4]Corey Melnick, Patrick Semon, Kwangmin Yu, Nicholas D'Imperio, André-Marie Tremblay, Gabriel Kotliar:
Accelerated impurity solver for DMFT and its diagrammatic extensions. Comput. Phys. Commun. 267: 108075 (2021) - [j3]Zhihua Dong, Heather M. Gray, Charles Leggett, Meifeng Lin, Vincent R. Pascuzzi, Kwangmin Yu:
Porting HEP Parameterized Calorimeter Simulation Code to GPUs. Frontiers Big Data 4: 665783 (2021) - [j2]Kun Zhang, Pooja Rao, Kwangmin Yu, Hyun-Kyung Lim, Vladimir E. Korepin:
Implementation of efficient quantum search algorithms on NISQ computers. Quantum Inf. Process. 20(7): 1-27 (2021) - [i4]Zhihua Dong, Heather M. Gray, Charles Leggett, Meifeng Lin, Vincent R. Pascuzzi, Kwangmin Yu:
Porting HEP Parameterized Calorimeter Simulation Code to GPUs. CoRR abs/2103.14737 (2021) - [i3]Haiwang Yu, Zhihua Dong, Kyle Knoepfel, Meifeng Lin, Brett Viren, Kwangmin Yu:
Evaluation of Portable Acceleration Solutions for LArTPC Simulation Using Wire-Cell Toolkit. CoRR abs/2104.08265 (2021) - 2020
- [c2]Thomas Flynn, Kwangmin Yu, Abid Malik, Nicholas D'Imperio, Shinjae Yoo:
Bounding the expected run-time of nonconvex optimization with early stopping. UAI 2020: 51-60 - [i2]Thomas Flynn, Kwangmin Yu, Abid Malik, Nicholas D'Imperio, Shinjae Yoo:
Bounding the expected run-time of nonconvex optimization with early stopping. CoRR abs/2002.08856 (2020)
2010 – 2019
- 2019
- [i1]Kwangmin Yu, Thomas Flynn, Shinjae Yoo, Nicholas D'Imperio:
Layered SGD: A Decentralized and Synchronous SGD Algorithm for Scalable Deep Neural Network Training. CoRR abs/1906.05936 (2019) - 2016
- [j1]Xingyu Wang, Roman Samulyak, Xiangmin Jiao, Kwangmin Yu:
AP-Cloud: Adaptive Particle-in-Cloud method for optimal solutions to Vlasov-Poisson equation. J. Comput. Phys. 316: 682-699 (2016) - [c1]Roman Samulyak, Hsin-Chiang Chen, Kwangmin Yu:
Second Order Upwind Lagrangian Particle Method for Euler Equations. ICCS 2016: 2433-2437
Coauthor Index
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