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Deep learning the functional renormalization group, , , , , , and . Phys. Rev. Lett., 129 (13): 136402 (Sep 21, 2022)MIMO capacity through correlated channels in the presence of correlated interferers and noise: a (not so) large N analysis., , and . IEEE Trans. Inf. Theory, 49 (10): 2545-2561 (2003)A Normative and Biologically Plausible Algorithm for Independent Component Analysis., , and . NeurIPS, page 7368-7384. (2021)A simple normative network approximates local non-Hebbian learning in the cortex., , , , and . NeurIPS, (2020)Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks., , , , and . NeurIPS, page 7080-7090. (2018)A Similarity-preserving Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit., , and . NeurIPS, page 14178-14189. (2019)Spatial Transformer K-Means., , , , , and . IEEECONF, page 1444-1448. IEEE, (2022)Locus dependence in epigenetic chromatin silencing., , and . Biosyst., 102 (1): 49-54 (2010)Critical behavior and universality classes for an algorithmic phase transition in sparse reconstruction., , and . CoRR, (2015)The cavity method for phase transitions in sparse reconstruction algorithms., , and . CoRR, (2015)