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Energy-based Generative Adversarial Network, , and . (2016)cite arxiv:1609.03126Comment: Submitted to ICLR 2017.Open-Ended Learning Leads to Generally Capable Agents., , , , , , , , , and 8 other author(s). CoRR, (2021)Disentangling factors of variation in deep representation using adversarial training., , , , and . NIPS, page 5041-5049. (2016)Learning Longer Memory in Recurrent Neural Networks., , , , and . ICLR (Workshop), (2015)Learning to Linearize Under Uncertainty., , and . NIPS, page 1234-1242. (2015)OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks, , , , , and . (Feb 24, 2014)The Loss Surfaces of Multilayer Networks., , , , and . AISTATS, volume 38 of JMLR Workshop and Conference Proceedings, JMLR.org, (2015)Energy-based Generative Adversarial Networks., , and . ICLR (Poster), OpenReview.net, (2017)OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks, , , , , and . (2013)cite arxiv:1312.6229.The Loss Surfaces of Multilayer Networks, , , , and . (2014)cite arxiv:1412.0233.