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Gitta Kutyniok
Gitta Kutyniok
Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence, LMU Munich
在 math.lmu.de 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Compressed sensing: theory and applications
YC Eldar, G Kutyniok
Cambridge university press, 2012
31092012
ChatGPT for good? On opportunities and challenges of large language models for education
E Kasneci, K Seßler, S Küchemann, M Bannert, D Dementieva, F Fischer, ...
Learning and individual differences 103, 102274, 2023
23952023
Introduction to compressed sensing.
MA Davenport, MF Duarte, YC Eldar, G Kutyniok
Compressed sensing, 1-64, 2012
7652012
Sparse multidimensional representation using shearlets
D Labate, WQ Lim, G Kutyniok, G Weiss
Wavelets XI 5914, 254-262, 2005
6432005
Frames of subspaces
PG Casazza, G Kutyniok
Contemporary Mathematics 345, 87-114, 2004
6342004
Finite frames: Theory and applications
PG Casazza, G Kutyniok
Springer Science & Business Media, 2012
5872012
Fusion frames and distributed processing
PG Casazza, G Kutyniok, S Li
Applied and computational harmonic analysis 25 (1), 114-132, 2008
4382008
Sparse multidimensional representations using anisotropic dilation and shear operators
K Guo, G Kutyniok, D Labate
Wavelets and splines 14, 189-201, 2006
4362006
Shearlets: Multiscale analysis for multivariate data
G Kutyniok, D Labate
Springer Science & Business Media, 2012
4312012
Resolution of the wavefront set using continuous shearlets
G Kutyniok, D Labate
Transactions of the American Mathematical Society 361 (5), 2719-2754, 2009
3332009
A Haar wavelet-based perceptual similarity index for image quality assessment
R Reisenhofer, S Bosse, G Kutyniok, T Wiegand
Signal Processing: Image Communication 61, 33-43, 2018
3162018
Optimal approximation with sparsely connected deep neural networks
H Bolcskei, P Grohs, G Kutyniok, P Petersen
SIAM Journal on Mathematics of Data Science 1 (1), 8-45, 2019
3022019
Compactly supported shearlets are optimally sparse
G Kutyniok, WQ Lim
Journal of Approximation Theory 163 (11), 1564-1589, 2011
3002011
Graphical models concepts in compressed sensing.
A Montanari, YC Eldar, G Kutyniok
Compressed Sensing, 394-438, 2012
2442012
Construction of compactly supported shearlet frames
P Kittipoom, G Kutyniok, WQ Lim
Constructive Approximation 35, 21-72, 2012
2262012
A theoretical analysis of deep neural networks and parametric PDEs
G Kutyniok, P Petersen, M Raslan, R Schneider
Constructive Approximation 55 (1), 73-125, 2022
2172022
Shearlab 3D: Faithful digital shearlet transforms based on compactly supported shearlets
G Kutyniok, WQ Lim, R Reisenhofer
ACM Transactions on Mathematical Software (TOMS) 42 (1), 1-42, 2016
2172016
Error bounds for approximations with deep ReLU neural networks in norms
I Gühring, G Kutyniok, P Petersen
Analysis and Applications 18 (05), 803-859, 2020
2022020
Shearlet coorbit spaces and associated Banach frames
S Dahlke, G Kutyniok, G Steidl, G Teschke
Applied and Computational Harmonic Analysis 27 (2), 195-214, 2009
1782009
Theory and applications of compressed sensing
G Kutyniok
GAMM‐Mitteilungen 36 (1), 79-101, 2013
1762013
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