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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

* 25 pages, 2 figures 

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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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LDMNet: Low Dimensional Manifold Regularized Neural Networks

Nov 16, 2017
Wei Zhu, Qiang Qiu, Jiaji Huang, Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies

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Recursive Diffeomorphism-Based Regression for Shape Functions

Jul 29, 2017
Jieren Xu, Haizhao Yang, Ingrid Daubechies

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A Tale of Two Bases: Local-Nonlocal Regularization on Image Patches with Convolution Framelets

Sep 12, 2016
Rujie Yin, Tingran Gao, Yue M. Lu, Ingrid Daubechies

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Multi-modal dictionary learning for image separation with application in art investigation

Jul 14, 2016
Nikos Deligiannis, Joao F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies

* submitted to IEEE Transactions on Images Processing 

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X-ray image separation via coupled dictionary learning

May 20, 2016
Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies

* To be presented at the IEEE International Conference on Image Processing (ICIP), 2016 

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Painting Analysis Using Wavelets and Probabilistic Topic Models

Jan 26, 2014
Tong Wu, Gungor Polatkan, David Steel, William Brown, Ingrid Daubechies, Robert Calderbank

* 5 pages, 4 figures, ICIP 2013 

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Bayesian crack detection in ultra high resolution multimodal images of paintings

Apr 23, 2013
Bruno Cornelis, Yun Yang, Joshua T. Vogelstein, Ann Dooms, Ingrid Daubechies, David Dunson

* 8 pages, double column 

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A Bayesian Nonparametric Approach to Image Super-resolution

Sep 22, 2012
Gungor Polatkan, Mingyuan Zhou, Lawrence Carin, David Blei, Ingrid Daubechies

* 30 pages, 11 figures 

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Analysis of boosting algorithms using the smooth margin function

Mar 28, 2008
Cynthia Rudin, Robert E. Schapire, Ingrid Daubechies

* Annals of Statistics 2007, Vol. 35, No. 6, 2723-2768 
* Published in at the Annals of Statistics ( by the Institute of Mathematical Statistics (

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