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Zhikuan Zhao
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2020 – today
- 2022
- [c4]Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang:
Certifying Out-of-Domain Generalization for Blackbox Functions. ICML 2022: 23527-23548 - [c3]Zhuolin Yang, Zhikuan Zhao, Boxin Wang, Jiawei Zhang, Linyi Li, Hengzhi Pei, Bojan Karlas, Ji Liu, Heng Guo, Ce Zhang, Bo Li:
Improving Certified Robustness via Statistical Learning with Logical Reasoning. NeurIPS 2022 - [i7]Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang:
Certifying Out-of-Domain Generalization for Blackbox Functions. CoRR abs/2202.01679 (2022) - 2021
- [j3]Zhikuan Zhao
, Jack K. Fitzsimons, Patrick Rebentrost, Vedran Dunjko, Joseph F. Fitzsimons:
Smooth input preparation for quantum and quantum-inspired machine learning. Quantum Mach. Intell. 3(1): 1-6 (2021) - [j2]Liming Zhao, Zhikuan Zhao, Patrick Rebentrost, Joseph F. Fitzsimons:
Compiling basic linear algebra subroutines for quantum computers. Quantum Mach. Intell. 3(2): 1-10 (2021) - [c2]Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Gürel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Xi Rao, Johannes Rausch, Cédric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang:
Ease.ML: A Lifecycle Management System for Machine Learning. CIDR 2021 - 2020
- [c1]Jack K. Fitzsimons, Atul Mantri, Robert Pisarczyk, Tom Rainforth, Zhikuan Zhao:
A note on blind contact tracing at scale with applications to the COVID-19 pandemic. ARES 2020: 92:1-92:6 - [i6]Zhuolin Yang, Zhikuan Zhao, Hengzhi Pei, Boxin Wang, Bojan Karlas, Ji Liu, Heng Guo, Bo Li, Ce Zhang:
End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines. CoRR abs/2003.00120 (2020) - [i5]Jack K. Fitzsimons, Atul Mantri, Robert Pisarczyk, Tom Rainforth, Zhikuan Zhao:
A note on blind contact tracing at scale with applications to the COVID-19 pandemic. CoRR abs/2004.05116 (2020) - [i4]Maurice Weber, Nana Liu
Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing. CoRR abs/2009.10064 (2020)
2010 – 2019
- 2019
- [j1]Zhikuan Zhao, Alejandro Pozas-Kerstjens
Bayesian deep learning on a quantum computer. Quantum Mach. Intell. 1(1-2): 41-51 (2019) - 2018
- [i3]Zhikuan Zhao, Jack K. Fitzsimons, Michael A. Osborne, Stephen J. Roberts, Joseph F. Fitzsimons:
Quantum algorithms for training Gaussian Processes. CoRR abs/1803.10520 (2018) - [i2]Zhikuan Zhao, Alejandro Pozas-Kerstjens, Patrick Rebentrost, Peter Wittek:
Bayesian Deep Learning on a Quantum Computer. CoRR abs/1806.11463 (2018) - 2015
- [i1]Zhikuan Zhao, Jack K. Fitzsimons, Joseph F. Fitzsimons:
Quantum assisted Gaussian process regression. CoRR abs/1512.03929 (2015)
Coauthor Index
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