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Pareto-optimal clustering with the primal deterministic information bottleneck


Apr 05, 2022
Andrew K. Tan, Max Tegmark, Isaac L. Chuang

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* 26 pages, 11 figures 

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Biological error correction codes generate fault-tolerant neural networks


Feb 25, 2022
Alexander Zlokapa, Andrew K. Tan, John M. Martyn, Max Tegmark, Isaac L. Chuang

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Active Learning of Quantum System Hamiltonians yields Query Advantage


Dec 29, 2021
Arkopal Dutt, Edwin Pednault, Chai Wah Wu, Sarah Sheldon, John Smolin, Lev Bishop, Isaac L. Chuang

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* 53 pages, 21 figures 

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Confident Learning: Estimating Uncertainty in Dataset Labels


Oct 31, 2019
Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang

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Learnability for the Information Bottleneck


Jul 17, 2019
Tailin Wu, Ian Fischer, Isaac L. Chuang, Max Tegmark

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* Accepted at UAI 2019 

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Meta-learning autoencoders for few-shot prediction


Jul 26, 2018
Tailin Wu, John Peurifoy, Isaac L. Chuang, Max Tegmark

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Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels


Aug 09, 2017
Curtis G. Northcutt, Tailin Wu, Isaac L. Chuang

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