Ingrid Daubechies

Publication Activity (10 Years)

Years Active: 1988-2023
Publications (10 Years): 38

Top Venues

CoRR

IEEE Trans. Image Process.

SIAM J. Math. Data Sci.

ICIP

Publications

Ingrid Daubechies, Ronald A. DeVore, Nadav Dym, Shira Faigenbaum-Golovin, Shahar Z. Kovalsky, Kung-Ching Lin, Josiah Park, Guergana Petrova, Barak Sober
Neural Network Approximation of Refinable Functions. IEEE Trans. Inf. Theory 69 (1) (2023)
Wei Pu, Barak Sober, Nathan Daly, Chao Zhou, Zahra Sabetsarvestani, Catherine Higgitt, Ingrid Daubechies, Miguel R. D. Rodrigues
Image Separation With Side Information: A Connected Auto-Encoders Based Approach. IEEE Trans. Image Process. 32 (2023)
Wei Pu, Junjie Huang, Barak Sober, Nathan Daly, Catherine Higgitt, Ingrid Daubechies, Pier Luigi Dragotti, Miguel R. D. Rodrigues
Mixed X-Ray Image Separation for Artworks With Concealed Designs. IEEE Trans. Image Process. 31 (2022)
Shan Shan, Ingrid Daubechies
Diffusion Maps : Using the Semigroup Property for Parameter Tuning. CoRR (2022)
Wei Pu, Jun-Jie Huang, Barak Sober, Nathan Daly, Catherine Higgitt, Ingrid Daubechies, Pier Luigi Dragotti, Miguel Rodigues
Mixed X-Ray Image Separation for Artworks with Concealed Designs. CoRR (2022)
Ingrid Daubechies, Ronald A. DeVore, Nadav Dym, Shira Faigenbaum-Golovin, Shahar Z. Kovalsky, Kung-Ching Lin, Josiah Park, Guergana Petrova, Barak Sober
Neural Network Approximation of Refinable Functions. CoRR (2021)
Wei Pu, Junjie Huang, Barak Sober, Nathan Daly, Catherine Higgitt, Pier Luigi Dragotti, Ingrid Daubechies, Miguel R. D. Rodrigues
A Learning Based Approach to Separate Mixed X-Ray Images Associated with Artwork with Concealed Designs. EUSIPCO (2021)
Cheng Cheng, Ingrid Daubechies, Nadav Dym, Jianfeng Lu
Stable Phase Retrieval from Locally Stable and Conditionally Connected Measurements. CoRR (2020)
Wei Pu, Barak Sober, Nathan Daly, Catherine Higgitt, Ingrid Daubechies, Miguel R. D. Rodrigues
A Connected Auto-Encoders Based Approach for Image Separation with Side Information: With Applications to Art Investigation. ICASSP (2020)
Wei Pu, Barak Sober, Nathan Daly, Zahra Sabetsarvestani, Catherine Higgitt, Ingrid Daubechies, Miguel R. D. Rodrigues
Image Separation with Side Information: A Connected Auto-Encoders Based Approach. CoRR (2020)
Nadav Dym, Barak Sober, Ingrid Daubechies
Expression of Fractals Through Neural Network Functions. IEEE J. Sel. Areas Inf. Theory 1 (1) (2020)
Shahar Z. Kovalsky, Noam Aigerman, Ingrid Daubechies, Michael Kazhdan, Jianfeng Lu, Stefan Steinerberger
Non-Convex Planar Harmonic Maps. CoRR (2020)
Barak Sober, Ingrid Daubechies, Robert Ravier
Approximating the Riemannian Metric from Point Clouds via Manifold Moving Least Squares. CoRR (2020)
Rima Alaifari, Ingrid Daubechies, Philipp Grohs, Rujie Yin
Stable Phase Retrieval in Infinite Dimensions. Found. Comput. Math. 19 (4) (2019)
Tingran Gao, Shahar Z. Kovalsky, Ingrid Daubechies
Gaussian Process Landmarking on Manifolds. SIAM J. Math. Data Sci. 1 (1) (2019)
Tingran Gao, Shahar Z. Kovalsky, Doug M. Boyer, Ingrid Daubechies
Gaussian Process Landmarking for Three-Dimensional Geometric Morphometrics. SIAM J. Math. Data Sci. 1 (1) (2019)
Nadav Dym, Barak Sober, Ingrid Daubechies
Expression of Fractals Through Neural Network Functions. CoRR (2019)
Wei Zhu, Ingrid Daubechies
Constructing curvelet-like bases and low-redundancy frames. CoRR (2019)
Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies
Stop Memorizing: A Data-Dependent Regularization Framework for Intrinsic Pattern Learning. SIAM J. Math. Data Sci. 1 (3) (2019)
Ingrid Daubechies, Ronald A. DeVore, Simon Foucart, Boris Hanin, Guergana Petrova
Nonlinear Approximation and (Deep) ReLU Networks. CoRR (2019)
Massimo Fornasier, Jan Vybíral, Ingrid Daubechies
Identification of Shallow Neural Networks by Fewest Samples. CoRR (2018)
Jieren Xu, Haizhao Yang, Ingrid Daubechies
Recursive Diffeomorphism-Based Regression for Shape Functions. SIAM J. Math. Anal. 50 (1) (2018)
Tingran Gao, Shahar Z. Kovalsky, Doug M. Boyer, Ingrid Daubechies
Gaussian Process Landmarking on Manifolds. CoRR (2018)
Wei Zhu, Qiang Qiu, Jiaji Huang, A. Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies
LDMNet: Low Dimensional Manifold Regularized Neural Networks. CVPR (2018)
Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies
Stop memorizing: A data-dependent regularization framework for intrinsic pattern learning. CoRR (2018)
Jieren Xu, Yitong Li, David B. Dunson, Ingrid Daubechies, Haizhao Yang
Non-Oscillatory Pattern Learning for Non-Stationary Signals. CoRR (2018)
Rujie Yin, Tingran Gao, Yue Lu, Ingrid Daubechies
A Tale of Two Bases: Local-Nonlocal Regularization on Image Patches with Convolution Framelets. SIAM J. Imaging Sci. 10 (2) (2017)
Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies
Multi-Modal Dictionary Learning for Image Separation With Application in Art Investigation. IEEE Trans. Image Process. 26 (2) (2017)
Gábor Fodor, Bruno Cornelis, Rujie Yin, Ann Dooms, Ingrid Daubechies
Cradle Removal in X-Ray Images of Panel Paintings. Image Process. Line 7 (2017)
Wei Zhu, Qiang Qiu, Jiaji Huang, A. Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies
LDMNet: Low Dimensional Manifold Regularized Neural Networks. CoRR (2017)
Bruno Cornelis, Haizhao Yang, Alex Goodfriend, Noelle Ocon, Jianfeng Lu, Ingrid Daubechies
Removal of Canvas Patterns in Digital Acquisitions of Paintings. IEEE Trans. Image Process. 26 (1) (2017)
Rujie Yin, Tingran Gao, Yue Lu, Ingrid Daubechies
Regularization on Image Patches: a linear reconstruction from manifold embedding. CoRR (2016)
Jieren Xu, Haizhao Yang, Ingrid Daubechies
Recursive Diffeomorphism-Based Regression for Shape Functions. CoRR (2016)
Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies
X-ray image separation via coupled dictionary learning. ICIP (2016)
Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies
X-ray image separation via coupled dictionary learning. CoRR (2016)
Rujie Yin, Bruno Cornelis, Gábor Fodor, Noelle Ocon, David B. Dunson, Ingrid Daubechies
Removing Cradle Artifacts in X-Ray Images of Paintings. SIAM J. Imaging Sci. 9 (3) (2016)
Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies
Multi-modal dictionary learning for image separation with application in art investigation. CoRR (2016)
Rujie Yin, Eric E. Monson, Elizabeth Honig, Ingrid Daubechies, Mauro Maggioni
Object recognition in art drawings: Transfer of a neural network. ICASSP (2016)
Aleksandra Pizurica, Ljiljana Platisa, Tijana Ruzic, Bruno Cornelis, Ann Dooms, Maximiliaan Martens, Hélène Dubois, Bart Devolder, Marc De Mey, Ingrid Daubechies
Digital Image Processing of The Ghent Altarpiece: Supporting the painting's study and conservation treatment. IEEE Signal Process. Mag. 32 (4) (2015)
Gungor Polatkan, Mingyuan Zhou, Lawrence Carin, David M. Blei, Ingrid Daubechies
A Bayesian Nonparametric Approach to Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 37 (2) (2015)
Ingrid Daubechies, Rayan Saab
A Deterministic Analysis of Decimation for Sigma-Delta Quantization of Bandlimited Functions. IEEE Signal Process. Lett. 22 (11) (2015)
Ingrid Daubechies, Yi Wang, Hau-Tieng Wu
ConceFT: Concentration of Frequency and Time via a multitapered synchrosqueezed transform. CoRR (2015)
Ingrid Daubechies, Rayan Saab
A Deterministic Analysis of Decimation for Sigma-Delta Quantization of Bandlimited Functions. CoRR (2015)
Haizhao Yang, Jianfeng Lu, William P. Brown, Ingrid Daubechies, Lexing Ying
Quantitative Canvas Weave Analysis Using 2-D Synchrosqueezed Transforms: Application of time-frequency analysis to art investigation. IEEE Signal Process. Mag. 32 (4) (2015)
Hau-Tieng Wu, Shu-Shua Hseu, Mauo-Ying Bien, Yu Ru Kou, Ingrid Daubechies
Evaluating Physiological Dynamics via Synchrosqueezing: Prediction of Ventilator Weaning. IEEE Trans. Biomed. Eng. 61 (3) (2014)
Rujie Yin, David B. Dunson, Bruno Cornelis, Bill Brown, Noelle Ocon, Ingrid Daubechies
Digital cradle removal in X-ray images of art paintings. ICIP (2014)
Tong Wu, Gungor Polatkan, David Steel, William P. Brown, Ingrid Daubechies, A. Robert Calderbank
Painting Analysis Using Wavelets and Probabilistic Topic Models. CoRR (2014)
Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR (2014)
Bruno Cornelis, Yun Yang, Joshua T. Vogelstein, Ann Dooms, Ingrid Daubechies, David B. Dunson
Bayesian crack detection in ultra high resolution multimodal images of paintings CoRR (2013)
Yaron Lipman, J. Puente, Ingrid Daubechies
Conformal Wasserstein distance: II. computational aspects and extensions. Math. Comput. 82 (281) (2013)
Bruno Cornelis, Yun Yang, Joshua T. Vogelstein, Ann Dooms, Ingrid Daubechies, David B. Dunson
Bayesian crack detection in ultra high resolution multimodal images of paintings. DSP (2013)
Bruno Cornelis, Tijana Ruzic, E. Gezels, Ann Dooms, Aleksandra Pizurica, Ljiljana Platisa, Jan Cornelis, Maximiliaan Martens, Marc De Mey, Ingrid Daubechies
Crack detection and inpainting for virtual restoration of paintings: The case of the Ghent Altarpiece. Signal Process. 93 (3) (2013)
Tong Wu, Gungor Polatkan, David Steel, William P. Brown, Ingrid Daubechies, A. Robert Calderbank
Painting analysis using wavelets and probabilistic topic models. ICIP (2013)
Anila Anitha, Andrei Brasoveanu, Marco F. Duarte, Shannon M. Hughes, Ingrid Daubechies, Joris Dik, Koen Janssens, Matthias Alfeld
Restoration of X-ray fluorescence images of hidden paintings. Signal Process. 93 (3) (2013)
Gungor Polatkan, Mingyuan Zhou, Lawrence Carin, David M. Blei, Ingrid Daubechies
A Bayesian Nonparametric Approach to Image Super-resolution CoRR (2012)
Cynthia Rudin, Robert E. Schapire, Ingrid Daubechies
Open Problem: Does AdaBoost Always Cycle? COLT (2012)
Anila Anitha, Andrei Brasoveanu, Marco F. Duarte, Shannon M. Hughes, Ingrid Daubechies, Joris Dik, Koen Janssens, Matthias Alfeld
Virtual underpainting reconstruction from X-ray fluorescence imaging data. EUSIPCO (2011)
Ljiljana Platisa, Bruno Cornelis, Tijana Ruzic, Aleksandra Pizurica, Ann Dooms, Maximiliaan Martens, Marc De Mey, Ingrid Daubechies
Spatiogram features to characterize pearls in paintings. ICIP (2011)
Hau-Tieng Wu, Patrick Flandrin, Ingrid Daubechies
One or Two frequencies? The Synchrosqueezing Answers. Adv. Data Sci. Adapt. Anal. 3 (1-2) (2011)
Tijana Ruzic, Bruno Cornelis, Ljiljana Platisa, Aleksandra Pizurica, Ann Dooms, Wilfried Philips, Maximiliaan Martens, Marc De Mey, Ingrid Daubechies
Virtual Restoration of the Ghent Altarpiece Using Crack Detection and Inpainting. ACIVS (2011)
Doug M. Boyer, Yaron Lipman, E. St. Clair, J. Puente, Thomas A. Funkhouser, B. Patel, J. Jernvall, Ingrid Daubechies
Algorithms to automatically quantify the geometric similarity of anatomical surfaces CoRR (2011)
Evangelos Roussos, Steven Roberts, Ingrid Daubechies
Variational Bayesian Learning of Sparse Representations and Its Application in Functional Neuroimaging. MLINI (2011)
Josephine Wolff, Maximiliaan Martens, Sina Jafarpour, Ingrid Daubechies, A. Robert Calderbank
Uncovering elements of style. ICASSP (2011)
Yaron Lipman, Xiaobai Chen, Ingrid Daubechies, Thomas A. Funkhouser
Symmetry factored embedding and distance. ACM Trans. Graph. 29 (4) (2010)
Ignace Loris, H. Douma, G. Nolet, Ingrid Daubechies, C. Regone
Nonlinear regularization techniques for seismic tomography. J. Comput. Phys. 229 (3) (2010)
Ingrid Daubechies, C. Sinan Güntürk, Yang Wang, Özgür Yilmaz
The golden ratio encoder. IEEE Trans. Inf. Theory 56 (10) (2010)
Gungor Polatkan, Sina Jafarpour, Andrei Brasoveanu, Shannon M. Hughes, Ingrid Daubechies
Detection of forgery in paintings using supervised learning. ICIP (2009)
Sina Jafarpour, Gungor Polatkan, Eugene Brevdo, Shannon M. Hughes, Andrei Brasoveanu, Ingrid Daubechies
Stylistic analysis of paintings usingwavelets and machine learning. EUSIPCO (2009)
Ingrid Daubechies, Ronald A. DeVore, Massimo Fornasier, C. Sinan Güntürk
Iteratively Re-weighted Least Squares minimization: Proof of faster than linear rate for sparse recovery. CISS (2008)
Ingrid Daubechies, C. Sinan Güntürk, Yang Wang, Özgür Yilmaz
The Golden Ratio Encoder CoRR (2008)
C. Richard Johnson Jr., Ella Hendriks, Igor J. Berezhnoy, Eugene Brevdo, Shannon M. Hughes, Ingrid Daubechies, Jia Li, Eric O. Postma, James Z. Wang
Image processing for artist identification. IEEE Signal Process. Mag. 25 (4) (2008)
Stephan Dahlke, Ingrid Daubechies, Michael Elad, Gitta Kutyniok, Gerd Teschke
08492 Executive Summary - Structured Decompositions and Efficient Algorithms. Structured Decompositions and Efficient Algorithms (2008)
Stephan Dahlke, Ingrid Daubechies, Michael Elad, Gitta Kutyniok, Gerd Teschke
08492 Abstracts Collection - Structured Decompositions and Efficient Algorithms. Structured Decompositions and Efficient Algorithms (2008)
Zoran Cvetkovic, Ingrid Daubechies, Benjamin F. Logan
Single-Bit Oversampled A/D Conversion With Exponential Accuracy in the Bit Rate. IEEE Trans. Inf. Theory 53 (11) (2007)
Ingrid Daubechies, Olof Runborg, Jing Zou
A Sparse Spectral Method for Homogenization Multiscale Problems. Multiscale Model. Simul. 6 (3) (2007)
Ingrid Daubechies, Ronald A. DeVore, C. Sinan Güntürk, Vinay A. Vaishampayan
A/D conversion with imperfect quantizers. IEEE Trans. Inf. Theory 52 (3) (2006)
Ingrid Daubechies, Özgür Yilmaz
Robust and Practical Analog-to-Digital Conversion With Exponential Precision. IEEE Trans. Inf. Theory 52 (8) (2006)
Shannon M. Hughes, Ingrid Daubechies
Simpler Alternatives to Information Theoretic Similarity Metrics for Multimodal Image Alignment. ICIP (2006)
Ingrid Daubechies, Konstantinos Drakakis, Tanya Khovanova
A Detailed Study of the Attachment Strategies of New Autonomous Systems in the AS Connectivity Graph. Internet Math. 2 (2) (2005)
Cynthia Rudin, Robert E. Schapire, Ingrid Daubechies
Boosting Based on a Smooth Margin. COLT (2004)
Cynthia Rudin, Ingrid Daubechies, Robert E. Schapire
The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins. J. Mach. Learn. Res. 5 (2004)
Cynthia Rudin, Ingrid Daubechies, Robert E. Schapire
On the Dynamics of Boosting. NIPS (2003)
A. Robert Calderbank, Ingrid Daubechies
The pros and cons of democracy. IEEE Trans. Inf. Theory 48 (6) (2002)
Zoran Cvetkovic, Benjamin F. Logan, Ingrid Daubechies
Interpolation of Bandlimited Functions from Quantized Irregular Samples. DCC (2002)
Albert Cohen, Ingrid Daubechies, Onur G. Guleryuz, Michael T. Orchard
On the importance of combining wavelet-based nonlinear approximation with coding strategies. IEEE Trans. Inf. Theory 48 (7) (2002)
Radu V. Balan, Ingrid Daubechies, Vinay A. Vaishampayan
The analysis and design of windowed Fourier frame based multiple description source coding schemes. IEEE Trans. Inf. Theory 46 (7) (2000)
Zoran Cvetkovic, Ingrid Daubechies
Single-Bit Oversampled A/D Conversion with Exponential Accuracy in the Bit-Rate. Data Compression Conference (2000)
David L. Donoho, Martin Vetterli, Ronald A. DeVore, Ingrid Daubechies
Data Compression and Harmonic Analysis. IEEE Trans. Inf. Theory 44 (6) (1998)
Ingrid Daubechies
Recent results in wavelet applications. J. Electronic Imaging 7 (4) (1998)
A. Robert Calderbank, Ingrid Daubechies, Wim Sweldens, Boon-Lock Yeo
Lossless Image Compresion Using Integer to Integer Wavelet Transforms. ICIP (1) (1997)
Éric Chassande-Mottin, Ingrid Daubechies, François Auger, Patrick Flandrin
Differential reassignment. IEEE Signal Process. Lett. 4 (10) (1997)
Michael Unser, Ingrid Daubechies
On the approximation power of convolution-based least squares versus interpolation. IEEE Trans. Signal Process. 45 (7) (1997)
Ingrid Daubechies
Where do wavelets come from? A personal point of view. Proc. IEEE 84 (4) (1996)
Ingrid Daubechies, Augustus J. E. M. Janssen
Two theorems on lattice expansions. IEEE Trans. Inf. Theory 39 (1) (1993)
Marc Antonini, Michel Barlaud, Pierre Mathieu, Ingrid Daubechies
Image coding using wavelet transform. IEEE Trans. Image Process. 1 (2) (1992)
Nader Moayeri, Ingrid Daubechies, Qing Song, Hong Shen Wang
Wavelet transform image coding using trellis coded vector quantization. ICASSP (1992)
Ingrid Daubechies, Stéphane Mallat, Alan S. Willsky
Introduction to the special issue on wavelet transforms and multiresolution signal analysis. IEEE Trans. Inf. Theory 38 (2) (1992)
Marc Antonini, Michel Barlaud, Pierre Mathieu, Ingrid Daubechies
Image coding using vector quantization in the wavelet transform domain. ICASSP (1990)
Ingrid Daubechies
The wavelet transform, time-frequency localization and signal analysis. IEEE Trans. Inf. Theory 36 (5) (1990)
Ingrid Daubechies
Time-frequency localization operators: A geometric phase space approach. IEEE Trans. Inf. Theory 34 (4) (1988)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ingrid Daubechies