New Insights and Perspectives on the Natural Gradient Method von Martens, James

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Mechanical stability of roll-to-roll printed solar cells under cyclic bending and torsion von Finn, Mickey, Martens, Christian James, Zaretski, Aliaksandr V., Roth, Bérenger, Søndergaard, Roar R., Krebs, Frederik C., Lipomi, Darren J.

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Training Deep and Recurrent Networks with Hessian-Free Optimization von Martens, James, Sutskever, Ilya

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A neurologically plausible implementation of statistical inference applied to random dot motion von Martens, James, Eliasmith, Chris

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Normalization for probabilistic inference with neurons von Eliasmith, Chris, Martens, James

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Introduction

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On the validity of kernel approximations for orthogonally-initialized neural networks von Martens, James

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On the validity of kernel approximations for orthogonally-initialized neural networks von Martens, James

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New insights and perspectives on the natural gradient method von Martens, James

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Sulphate minerals in West Virginia, by James H. C. Martens : v.25(1963) von Martens, James Hart Curry, 1901

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Dolomitic zone at base of Greenbrier Limestone (Big Lime) by James H.C. Martens and Homer A. Hoskins : v.4(1948) von Martens, James Hart Curry, 1901

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Possibility of shaft mining of Greenbrier Limestone : v.6(1948) von Martens, James Hart Curry, 1901

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Well-sample records, by James H.C. Martens : v.17(1945) von Martens, James Hart Curry, 1901

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On the Variance of Unbiased Online Recurrent Optimization von Cooijmans, Tim, Martens, James

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Deep Learning without Shortcuts: Shaping the Kernel with Tailored Rectifiers von Zhang, Guodong, Botev, Aleksandar, Martens, James

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What Might Have Been Left Behind: Popular African-American Female Singers in an Age of Liberal Reform von Martens, James

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New insights and perspectives on the natural gradient method von Martens, James

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Normalization and effective learning rates in reinforcement learning von Lyle, Clare, Zheng, Zeyu, Khetarpal, Khimya, Martens, James, van Hasselt, Hado, Pascanu, Razvan, Dabney, Will

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Disentangling the Causes of Plasticity Loss in Neural Networks von Lyle, Clare, Zheng, Zeyu, Khetarpal, Khimya, van Hasselt, Hado, Pascanu, Razvan, Martens, James, Dabney, Will

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NEURAL NETWORKS WITH REGULARIZED ATTENTION LAYERS von HE, Bobby Boyi, MARTENS, James

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