Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations | Paper Citation Record

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Journal of the American Statistical Association , volume=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Ulteriori propriet

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Annali della Scuola Normale Superiore di Pisa-Scienze Fisiche e Matematiche , volume=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations The Annals of Statistics , volume=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Wellner , title =

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Annales de l'Institut Henri Poincar

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations The Annals of Statistics , volume=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations The Annals of Statistics , number =

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Neural Networks , volume=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations SIAM Journal on Mathematical Analysis , volume=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations The Annals of Statistics , volume=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Journal of Machine Learning Research , volume=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations The Annals of Statistics , number =

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations 2009 , publisher=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations 2005 , publisher=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations The Annals of Statistics , volume=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Journal of the American Statistical Association , volume=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations The Annals of Statistics , volume=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations The Annals of Statistics , volume =

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Journal of the American Statistical Association , volume=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Bernoulli , volume=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Journal of Computer and System Sciences , volume=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Searching for Activation Functions

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Neurocomputing , volume=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Gaussian Error Linear Units (GELUs)

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Proceedings of the British Machine Vision Conference 2020 , year=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations LLaMA: Open and Efficient Foundation Language Models

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations International Conference on Learning Representations (ICLR) , year =

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations New Empirical Process Tools and Their Applications to Robust Deep ReLU Networks and Phase Transitions for Nonparametric Regression

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations European Conference on Computer Vision (ECCV) , pages =

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Proceedings of the sixth Annual Conference on Computational Learning Theory , pages=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Neural Networks , volume=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Neural Networks , volume=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Journal of Machine Learning Research , volume=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Yang and J

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations mHC: Manifold-Constrained Hyper-Connections

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations arXiv preprint arXiv:2511.08772 , year=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Geophysical Research Letters , year =

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Intergovernmental Panel on Climate Change (IPCC) 2021: Climate Change 2021: The Physical Science Basis

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations International Journal of Climatology , volume=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Journal of Geophysical Research: Atmospheres , volume=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Proceedings of the National Academy of Sciences , volume=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Proceedings of the National Academy of Sciences , volume=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Sup-Norm Convergence of Deep Neural Network Estimator for Nonparametric Regression by Adversarial Training

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations The Annals of Applied Statistics , volume=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations International Conference on Machine Learning , pages=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations International Conference on Machine Learning , pages=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations International Conference on Machine Learning , pages=

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Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations International Conference on Machine Learning , pages=

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