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Ingrid Daubechies

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Diffusion Maps : Using the Semigroup Property for Parameter Tuning

Mar 06, 2022
Shan Shan, Ingrid Daubechies

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Mixed X-Ray Image Separation for Artworks with Concealed Designs

Jan 23, 2022
Wei Pu, Jun-Jie Huang, Barak Sober, Nathan Daly, Catherine Higgitt, Ingrid Daubechies, Pier Luigi Dragotti, Miguel Rodigues

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Neural Network Approximation of Refinable Functions

Jul 28, 2021
Ingrid Daubechies, Ronald DeVore, Nadav Dym, Shira Faigenbaum-Golovin, Shahar Z. Kovalsky, Kung-Ching Lin, Josiah Park, Guergana Petrova, Barak Sober

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Image Separation with Side Information: A Connected Auto-Encoders Based Approach

Sep 16, 2020
Wei Pu, Barak Sober, Nathan Daly, Zahra Sabetsarvestani, Catherine Higgitt, Ingrid Daubechies, Miguel R. D. Rodrigues

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Approximating the Riemannian Metric from Point Clouds via Manifold Moving Least Squares

Jul 20, 2020
Barak Sober, Ingrid Daubechies, Robert Ravier

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Expression of Fractals Through Neural Network Functions

May 27, 2019
Nadav Dym, Barak Sober, Ingrid Daubechies

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Stop memorizing: A data-dependent regularization framework for intrinsic pattern learning

Sep 23, 2018
Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies

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Gaussian Process Landmarking on Manifolds

Jul 28, 2018
Tingran Gao, Shahar Z. Kovalsky, Ingrid Daubechies

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Non-Oscillatory Pattern Learning for Non-Stationary Signals

May 22, 2018
Jieren Xu, Yitong Li, David Dunson, Ingrid Daubechies, Haizhao Yang

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Identification of Shallow Neural Networks by Fewest Samples

Apr 04, 2018
Massimo Fornasier, Jan Vybíral, Ingrid Daubechies

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