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Suitability of V1 Energy Models for Object Classification, , and . Neural Computation, (Dec 16, 2010)Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization, , , , , and . (2010)Noisy Activation Functions, , , and . (2016)cite arxiv:1603.00391v3.pdf.Markovian Models for Sequential Data. Neural computing surveys, 2 (199): 129--162 (1999)How to Construct Deep Recurrent Neural Networks., , , and . CoRR, (2013)Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation., , , , , , and . (2016)cite arxiv:1606.00776Comment: 21 pages, 2 figures, 10 tables.Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models, , , , and . (2015)cite arxiv:1507.04808Comment: 8 pages with references; Published in AAAI 2016 (Special Track on Cognitive Systems).Extracting and composing robust features with denoising autoencoders., , , and . ICML, volume 307 of ACM International Conference Proceeding Series, page 1096-1103. ACM, (2008)Interpretable Convolutional Filters with SincNet., and . CoRR, (2018)Hierarchical Multiscale Recurrent Neural Networks, , and . (2016)cite arxiv:1609.01704.