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Publication search results
found 61 matches
- 2024
- Rubén Meana-Pañeda, Jingjing Zheng, Junwei Lucas Bao, Shuxia Zhang, Benjamin J. Lynch, José C. Corchado, Yao-Yuan Chuang, Patton L. Fast, Wei-Ping Hu, Yi-Ping Liu, Gillian C. Lynch, Kiet A. Nguyen, Charles F. Jackels, Antonio Fernández-Ramos, Benjamin A. Ellingson, Vasilios S. Melissas, Jordi Villá, Ivan Rossi, Elena L. Coitiño, Jingzhi Pu, Titus V. Albu, Rui Ming Zhang, Xuefei Xu, Artur Ratkiewicz, Rozeanne Steckler, Bruce C. Garrett, Alan D. Isaacson, Donald G. Truhlar:
Polyrate 2023: A computer program for the calculation of chemical reaction rates for polyatomics. New version announcement. Comput. Phys. Commun. 294: 108933 (2024) - 2023
- Tatsuhiko N. Ikeda, Asir Abrar, Isaac L. Chuang, Sho Sugiura:
Minimum Trotterization Formulas for a Time-Dependent Hamiltonian. Quantum 7: 1168 (2023) - Samuel Alexander Stein, Sara Sussman, Teague Tomesh, Charles Guinn, Esin Tureci, Sophia Fuhui Lin, Wei Tang, James A. Ang, Srivatsan Chakram, Ang Li, Margaret Martonosi, Fred Chong, Andrew A. Houck, Isaac L. Chuang, Michael Austin DeMarco:
HetArch: Heterogeneous Microarchitectures for Superconducting Quantum Systems. MICRO 2023: 539-554 - Samuel Alexander Stein, Sara Sussman, Teague Tomesh, Charles Guinn, Esin Tureci, Sophia Fuhui Lin, Wei Tang, James A. Ang, Srivatsan Chakram, Ang Li, Margaret Martonosi, Frederic T. Chong, Andrew A. Houck, Isaac L. Chuang, Michael Austin DeMarco:
Microarchitectures for Heterogeneous Superconducting Quantum Computers. CoRR abs/2305.03243 (2023) - Andrew K. Tan, Matthew Ho, Isaac L. Chuang:
On reliable computation over larger alphabets. CoRR abs/2306.13262 (2023) - Andrew K. Tan, Isaac L. Chuang:
Resource savings from fault-tolerant circuit design. CoRR abs/2311.02132 (2023) - 2022
- Andrew K. Tan, Max Tegmark, Isaac L. Chuang:
Pareto-Optimal Clustering with the Primal Deterministic Information Bottleneck. Entropy 24(6): 771 (2022) - Zane M. Rossi, Isaac L. Chuang:
Multivariable quantum signal processing (M-QSP): prophecies of the two-headed oracle. Quantum 6: 811 (2022) - Alexander Zlokapa, Andrew K. Tan, John M. Martyn, Max Tegmark, Isaac L. Chuang:
Biological error correction codes generate fault-tolerant neural networks. CoRR abs/2202.12887 (2022) - Andrew K. Tan, Max Tegmark, Isaac L. Chuang:
Pareto-optimal clustering with the primal deterministic information bottleneck. CoRR abs/2204.02489 (2022) - 2021
- Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang:
Confident Learning: Estimating Uncertainty in Dataset Labels. J. Artif. Intell. Res. 70: 1373-1411 (2021) - Arkopal Dutt, Edwin Pednault, Chai Wah Wu, Sarah Sheldon, John Smolin, Lev Bishop, Isaac L. Chuang:
Active Learning of Quantum System Hamiltonians yields Query Advantage. CoRR abs/2112.14553 (2021) - 2020
- Daniela Ganelin, Isaac Chuang:
IP Geolocation Underestimates Regressive Economic Patterns in MOOC Usage. CoRR abs/2006.03977 (2020) - 2019
- Tailin Wu, Ian S. Fischer, Isaac L. Chuang, Max Tegmark:
Learnability for the Information Bottleneck. Entropy 21(10): 924 (2019) - Ilia Rushkin, Isaac L. Chuang, Dustin Tingley:
Modelling and Using Response Times in Online Courses. J. Learn. Anal. 6(3) (2019) - Catherine Medlock, Alan V. Oppenheim, Isaac Chuang, Qi Ding:
Operating Characteristics for Binary Hypothesis Testing in Quantum Systems. Allerton 2019: 1136-1145 - Daniela Ganelin, Isaac Chuang:
IP Geolocation Underestimates Regressive Economic Patterns in MOOC Usage. ICETC 2019: 268-272 - Tailin Wu, Ian S. Fischer, Isaac L. Chuang, Max Tegmark:
Learnability for the Information Bottleneck. UAI 2019: 1050-1060 - Murphy Yuezhen Niu, Lior Horesh, Isaac Chuang:
Recurrent Neural Networks in the Eye of Differential Equations. CoRR abs/1904.12933 (2019) - Tailin Wu, Ian S. Fischer, Isaac L. Chuang, Max Tegmark:
Learnability for the Information Bottleneck. CoRR abs/1907.07331 (2019) - Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang:
Confident Learning: Estimating Uncertainty in Dataset Labels. CoRR abs/1911.00068 (2019) - 2018
- Rich Rines, Isaac Chuang:
High Performance Quantum Modular Multipliers. CoRR abs/1801.01081 (2018) - Ilia Rushkin, Isaac L. Chuang, Dustin Tingley:
Modelling and Using Response Times in Online Courses. CoRR abs/1801.07618 (2018) - Tailin Wu, John Peurifoy, Isaac L. Chuang, Max Tegmark:
Meta-learning autoencoders for few-shot prediction. CoRR abs/1807.09912 (2018) - 2017
- Glenn Lopez, Daniel T. Seaton, Andrew M. Ang, Dustin Tingley, Isaac L. Chuang:
Google BigQuery for Education: Framework for Parsing and Analyzing edX MOOC Data. L@S 2017: 181-184 - Sharad Chole, Andy Fingerhut, Sha Ma, Anirudh Sivaraman, Shay Vargaftik, Alon Berger, Gal Mendelson, Mohammad Alizadeh, Shang-Tse Chuang, Isaac Keslassy, Ariel Orda, Tom Edsall:
dRMT: Disaggregated Programmable Switching. SIGCOMM 2017: 1-14 - Curtis G. Northcutt, Tailin Wu, Isaac L. Chuang:
Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels. UAI 2017 - Curtis G. Northcutt, Tailin Wu, Isaac L. Chuang:
Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels. CoRR abs/1705.01936 (2017) - 2016
- Michael A. Nielsen, Isaac L. Chuang:
Quantum Computation and Quantum Information (10th Anniversary edition). Cambridge University Press 2016, ISBN 978-1-10-700217-3, pp. I-XXXI, 1-676 - Curtis G. Northcutt, Andrew D. Ho, Isaac L. Chuang:
Detecting and preventing "multiple-account" cheating in massive open online courses. Comput. Educ. 100: 71-80 (2016)
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