Showing 1–20 of 45 results
/ Date/ Name
Jul 31, 2020Finite Versus Infinite Neural Networks: an Empirical StudyJun 14, 2018Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural NetworksOct 11, 2022What does a deep neural network confidently perceive? The effective dimension of high certainty class manifolds and their low confidence boundariesFeb 18, 2019Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient DescentDec 30, 2019Disentangling Trainability and Generalization in Deep Neural NetworksDec 5, 2019Neural Tangents: Fast and Easy Infinite Neural Networks in PythonJan 29, 2013Stability of jammed packings II: the transverse length scaleMar 4, 2014Predicting plasticity with soft vibrational modes: from dislocations to glassesDec 24, 2017Mean Field Residual Networks: On the Edge of ChaosNov 10, 2021Gradients are Not All You NeedOct 5, 2021Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel ShapingJun 17, 2022Fast Finite Width Neural Tangent KernelFeb 17, 2017Machine learning prediction errors better than DFT accuracyMar 4, 2018Machine learning determination of atomic dynamics at grain boundariesFeb 27, 2018The Emergence of Spectral Universality in Deep NetworksNov 8, 2017Intriguing Properties of Adversarial ExamplesJan 9, 2018Adversarial SpheresJun 25, 2015A structural approach to relaxation in glassy liquidsApr 4, 2014Understanding plastic deformation in thermal glasses from single-soft-spot dynamicsJan 25, 2019Dynamical Isometry and a Mean Field Theory of LSTMs and GRUs