 Quantitative Universal Approximation Bounds for Deep Belief NetworksInternational Conference on Machine Learning (ICML), 2022 |
 Deep Learning the Ising Model Near CriticalityJournal of machine learning research (JMLR), 2017 |
 Deep Narrow Boltzmann Machines are Universal ApproximatorsInternational Conference on Learning Representations (ICLR), 2014 |
 Universal Approximation Depth and Errors of Narrow Belief Networks with
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 Maximal Information Divergence from Statistical Models defined by Neural
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