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Jan Vybíral
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Big data of materials science: critical role of the descriptor
LM Ghiringhelli, J Vybiral, SV Levchenko, C Draxl, M Scheffler
Physical review letters 114 (10), 105503, 2015
6892015
Learning physical descriptors for materials science by compressed sensing
LM Ghiringhelli, J Vybiral, E Ahmetcik, R Ouyang, SV Levchenko, C Draxl, ...
New Journal of Physics 19 (2), 023017, 2017
1152017
Learning functions of few arbitrary linear parameters in high dimensions
M Fornasier, K Schnass, J Vybiral
Foundations of Computational Mathematics 12 (2), 229-262, 2012
1022012
Function spaces with dominating mixed smoothness
J Vybiral
932006
Compressed sensing and its applications
H Boche, R Calderbank, G Kutyniok, J Vybiral
Compressed Sensing and Its Applications, edited by H. Boche, G. Caire, R …, 2015
832015
Spaces of variable smoothness and integrability: Characterizations by local means and ball means of differences
H Kempka, J Vybíral
Journal of Fourier Analysis and Applications 18 (4), 852-891, 2012
752012
Johnson‐Lindenstrauss lemma for circulant matrices
A Hinrichs, J Vybíral
Random Structures & Algorithms 39 (3), 391-398, 2011
702011
A variant of the Johnson–Lindenstrauss lemma for circulant matrices
J Vybíral
Journal of Functional Analysis 260 (4), 1096-1105, 2011
662011
Survey on Compressed Sensing
H Boche, R Calderbank, G Kutyniok, J Vybiral
http://www.karlin.mff.cuni.cz/~vybiral/publ/Chapter1.pdf, 2014
582014
Widths of embeddings in function spaces
J Vybíral
Journal of Complexity 24 (4), 545-570, 2008
582008
Lorentz spaces with variable exponents
H Kempka, J Vybíral
Mathematische Nachrichten 287 (8-9), 938-954, 2014
482014
Sobolev and Jawerth embeddings for spaces with variable smoothness and integrability
J Vybíral
Rn 1, q1, 2009
482009
A note on the spaces of variable integrability and summability of Almeida and Hästö
H Kempka, J Vybíral
Proceedings of the American Mathematical Society 141 (9), 3207-3212, 2013
462013
Linear information versus function evaluations for L2-approximation
A Hinrichs, E Novak, J Vybíral
Journal of approximation theory 153 (1), 97-107, 2008
332008
Sparse Proteomics Analysis–a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data
TOF Conrad, M Genzel, N Cvetkovic, N Wulkow, A Leichtle, J Vybiral, ...
BMC bioinformatics 18 (1), 1-20, 2017
322017
Entropy and sampling numbers of classes of ridge functions
S Mayer, T Ullrich, J Vybiral
Constructive Approximation 42 (2), 231-264, 2015
302015
On the interplay of regularity and decay in case of radial functions I: Inhomogeneous spaces
W Sickel, L Skrzypczak, J Vybiral
Communications in Contemporary Mathematics 14 (01), 1250005, 2012
302012
A new proof of the Jawerth-Franke embedding.
J Vybíral
Revista matemática complutense 21 (1), 75-82, 2008
302008
The Jawerth–Franke embedding of spaces with dominating mixed smoothness
M Hansen, J Vybiral
Walter de Gruyter GmbH & Co. KG 16 (4), 667-682, 2009
282009
Complex interpolation of weighted Besov and Lizorkin-Triebel spaces
W Sickel, L Skrzypczak, J Vybíral
Acta Mathematica Sinica, English Series 30 (8), 1297-1323, 2014
242014
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