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
3922 2023 Compressed sensing: theory and applications YC Eldar, G Kutyniok
Cambridge university press, 2012
3192 2012 Introduction to compressed sensing. MA Davenport, MF Duarte, YC Eldar, G Kutyniok
Compressed sensing, 1-64, 2012
782 2012 Frames of subspaces PG Casazza, G Kutyniok
Contemporary Mathematics 345, 87-114, 2004
662 2004 Sparse multidimensional representation using shearlets D Labate, WQ Lim, G Kutyniok, G Weiss
Wavelets XI 5914, 254-262, 2005
659 2005 Finite frames: Theory and applications PG Casazza, G Kutyniok
Springer Science & Business Media, 2012
608 2012 Fusion frames and distributed processing PG Casazza, G Kutyniok, S Li
Applied and computational harmonic analysis 25 (1), 114-132, 2008
451 2008 Sparse multidimensional representations using anisotropic dilation and shear operators K Guo, G Kutyniok, D Labate
Wavelets and splines 14, 189-201, 2006
446 2006 Shearlets: Multiscale analysis for multivariate data G Kutyniok, D Labate
Springer Science & Business Media, 2012
443 2012 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
344 2018 Resolution of the wavefront set using continuous shearlets G Kutyniok, D Labate
Transactions of the American Mathematical Society 361 (5), 2719-2754, 2009
340 2009 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
321 2019 Compactly supported shearlets are optimally sparse G Kutyniok, WQ Lim
Journal of Approximation Theory 163 (11), 1564-1589, 2011
307 2011 Graphical models concepts in compressed sensing. A Montanari, YC Eldar, G Kutyniok
Compressed Sensing, 394-438, 2012
257 2012 RadioUNet: Fast radio map estimation with convolutional neural networks R Levie, Ç Yapar, G Kutyniok, G Caire
IEEE Transactions on Wireless Communications 20 (6), 4001-4015, 2021
245 2021 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
241 2022 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
229 2016 Construction of compactly supported shearlet frames P Kittipoom, G Kutyniok, WQ Lim
Constructive Approximation 35, 21-72, 2012
229 2012 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
226 2020 The modern mathematics of deep learning J Berner, P Grohs, G Kutyniok, P Petersen
arXiv preprint arXiv:2105.04026 78, 2021
221 2021