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Deep Generative Stochastic Networks Trainable by Backprop., , , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 226-234. JMLR.org, (2014)Implicit Density Estimation by Local Moment Matching to Sample from Auto-Encoders, , and . CoRR, (2012)Negative eigenvalues of the Hessian in deep neural networks., , and . ICLR (Workshop), OpenReview.net, (2018)Techniques for Learning Binary Stochastic Feedforward Neural Networks., , , and . ICLR (Poster), (2015)DeepDrummer : Generating Drum Loops using Deep Learning and a Human in the Loop., , , and . CoRR, (2020)Understanding intermediate layers using linear classifier probes, and . (2016)cite arxiv:1610.01644.Negative eigenvalues of the Hessian in deep neural networks., , and . CoRR, (2019)Theano: A Python framework for fast computation of mathematical expressions, , , , , , , , , and 103 other author(s). (2016)cite arxiv:1605.02688Comment: 19 pages, 5 figures.Neural correlates for task-relevant facilitation of visual inputs during visually-guided hand movements., , , , and . NeuroImage, (2015)Variance Reduction in SGD by Distributed Importance Sampling., , , , and . CoRR, (2015)