Toward an artificial intelligence physicist for unsupervised learning by Wu, Tailin, Tegmark, Max

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Pareto-optimal data compression for binary classification tasks by Tegmark, Max Erik, Wu, Tailin

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Pareto-Optimal Data Compression for Binary Classification Tasks by Tegmark, Max Erik, Wu, Tailin

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Learning with confident examples: Rank pruning for robust classification with noisy labels by Chuang, Isaac L., Wu, Tailin, Northcutt, Curtis G.

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Learnability for the Information Bottleneck by Wu, Tailin, Fischer, Ian, Chuang, Isaac L., Tegmark, Max Erik

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Toward a more accurate 3D atlas of C. elegans neurons by Skuhersky, Michael, Wu, Tailin, Yemini, Eviatar, Nejatbakhsh, Amin, Boyden, Edward, Tegmark, Max

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Toward a more accurate 3D atlas of C. elegans neurons by Skuhersky, Michael, Wu, Tailin, Yemini, Eviatar, Nejatbakhsh, Amin, Boyden, Edward, Tegmark, Max

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Iterative precision measurement of branching ratios applied to 5P States in [superscript 88]Sr[superscript +] by Zhang, Helena Y., Gutierrez, Michael Steven, Low, Guang Hao, Rines, Rich, Stuart, Jules, Wu, Tailin, Chuang, Isaac

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Preventing and reversing vacuum-induced optical losses in high-finesse tantalum (V) oxide mirror coatings by Gangloff, Dorian, Shi, Molu, Wu, Tailin, Bylinskii, Alexei, Braverman, Boris, Nichols, Rosanna, Li, Junru, Aichholz, Kai, Cetina, Marko, Karpa, Leon, Gutierrez, Michael Steven, Jelenkovic, Branislav, Vuletic, Vladan, Chuang, Isaac L.

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