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ORCIDJan Vybíral
Person information
- affiliation: Czech Technical University in Prague, Czech Republic
- affiliation (former): Charles University, Prague, Czech Republic
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2020 – today
- 2025
[j21]Erich Novak, Mario Ullrich, Jan Vybíral:
Stefan Heinrich is the Winner of the 2024 Best Paper Award of the Journal of Complexity. J. Complex. 86: 101905 (2025)- 2024
- [j20]Matej Trödler, Jan Volec, Jan Vybíral:
A tight lower bound on the minimal dispersion. Eur. J. Comb. 120: 103945 (2024) - [j19]Jan Haskovec, Jan Vybíral:
Robust network formation with biological applications. Networks Heterog. Media 19(2): 771-799 (2024) - [i13]Joscha Prochno, Mathias Sonnleitner, Jan Vybíral:
Entropy numbers of finite-dimensional Lorentz space embeddings. CoRR abs/2404.06058 (2024) - 2023
- [i12]David Krieg
, Jan Vybíral:
New lower bounds for the integration of periodic functions. CoRR abs/2302.02639 (2023) - [i11]Cornelia Schneider, Jan Vybíral:
A multivariate Riesz basis of ReLU neural networks. CoRR abs/2303.00076 (2023) - [i10]Matej Trödler, Jan Volec, Jan Vybíral:
A tight lower bound on the minimal dispersion. CoRR abs/2311.10666 (2023) - [i9]Dmitriy Bilyk, Michael Gnewuch, Jan Vybíral, Larisa Yaroslavtseva, Kumar Harsha:
Algorithms and Complexity for Continuous Problems (Dagstuhl Seminar 23351). Dagstuhl Reports 13(8): 106-128 (2023) - 2022
- [j18]Mario Ullrich, Jan Vybíral:
Deterministic Constructions of High-Dimensional Sets with Small Dispersion. Algorithmica 84(7): 1897-1915 (2022) - [j17]Aicke Hinrichs, David Krieg, Erich Novak, Jan Vybíral:
Lower bounds for integration and recovery in L2. J. Complex. 72: 101662 (2022) - 2021
- [j16]Aicke Hinrichs, David Krieg, Erich Novak, Jan Vybíral:
Lower bounds for the error of quadrature formulas for Hilbert spaces. J. Complex. 65: 101544 (2021) - [i8]Aicke Hinrichs, David Krieg, Erich Novak, Jan Vybíral:
Lower bounds for integration and recovery in L2. CoRR abs/2108.11853 (2021) - 2020
- [j15]Anna Dolezalová, Jan Vybíral:
On the volume of unit balls of finite-dimensional Lorentz spaces. J. Approx. Theory 255: 105407 (2020) - [i7]Aicke Hinrichs, David Krieg, Erich Novak, Jan Vybíral:
Lower Bounds for the Error of Quadrature Formulas for Hilbert Spaces. CoRR abs/2004.00274 (2020)
2010 – 2019
- 2019
- [j14]Aicke Hinrichs, Joscha Prochno, Mario Ullrich, Jan Vybíral:
The minimal k-dispersion of point sets in high dimensions. J. Complex. 51: 68-78 (2019) - [i6]Mario Ullrich, Jan Vybíral:
Deterministic constructions of high-dimensional sets with small dispersion. CoRR abs/1901.06702 (2019) - [i5]Jan Vybíral:
A variant of Schur's product theorem and its applications. CoRR abs/1909.11726 (2019) - 2018
- [j13]Mario Ullrich, Jan Vybíral:
An upper bound on the minimal dispersion. J. Complex. 45: 120-126 (2018) - [i4]Massimo Fornasier, Jan Vybíral, Ingrid Daubechies:
Identification of Shallow Neural Networks by Fewest Samples. CoRR abs/1804.01592 (2018) - 2017
- [j12]Tim O. F. Conrad, Martin Genzel, Nada Cvetkovic, Niklas Wulkow, Alexander B. Leichtle, Jan Vybíral, Gitta Kutyniok, Christof Schütte:
Sparse Proteomics Analysis - a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data. BMC Bioinform. 18(1): 160:1-160:20 (2017) - [j11]Anton Kolleck, Jan Vybíral:
Non-Asymptotic Analysis of ℓ1-Norm Support Vector Machines. IEEE Trans. Inf. Theory 63(9): 5461-5476 (2017) - 2015
- [j10]Anton Kolleck, Jan Vybíral:
On some aspects of approximation of ridge functions. J. Approx. Theory 194: 35-61 (2015) - [i3]Anton Kolleck, Jan Vybíral:
Non-asymptotic Analysis of ℓ1-norm Support Vector Machines. CoRR abs/1509.08083 (2015) - 2014
- [j9]Jan Vybíral:
Weak and quasi-polynomial tractability of approximation of infinitely differentiable functions. J. Complex. 30(2): 48-55 (2014) - 2012
- [j8]Massimo Fornasier, Karin Schnass, Jan Vybíral:
Learning Functions of Few Arbitrary Linear Parameters in High Dimensions. Found. Comput. Math. 12(2): 229-262 (2012) - 2011
- [j7]Aicke Hinrichs, Jan Vybíral:
On positive positive-definite functions and Bochner's Theorem. J. Complex. 27(3-4): 264-272 (2011) - [j6]Massimo Fornasier, Jan Haskovec, Jan Vybíral:
Particle Systems and Kinetic Equations Modeling Interacting Agents in High Dimension. Multiscale Model. Simul. 9(4): 1727-1764 (2011) - [j5]Aicke Hinrichs, Jan Vybíral:
Johnson-Lindenstrauss lemma for circulant matrices. Random Struct. Algorithms 39(3): 391-398 (2011) - [c1]Karin Schnass, Jan Vybíral:
Compressed learning of high-dimensional sparse functions. ICASSP 2011: 3924-3927 - 2010
- [i2]Aicke Hinrichs, Jan Vybíral:
Johnson-Lindenstrauss lemma for circulant matrices. CoRR abs/1001.4919 (2010) - [i1]Massimo Fornasier, Karin Schnass, Jan Vybíral:
Learning Functions of Few Arbitrary Linear Parameters in High Dimensions. CoRR abs/1008.3043 (2010)
2000 – 2009
- 2009
- [j4]Leszek Skrzypczak, Jan Vybíral:
Corrigendum to the paper: "On approximation numbers of Sobolev embeddings of weighted function spaces" [J. Approx. Theory 136 (2005) 91-107]. J. Approx. Theory 156(1): 116-119 (2009) - 2008
- [j3]Aicke Hinrichs, Erich Novak, Jan Vybíral:
Linear information versus function evaluations for L2-approximation. J. Approx. Theory 153(1): 97-107 (2008) - [j2]Jan Vybíral:
Widths of embeddings in function spaces. J. Complex. 24(4): 545-570 (2008) - 2007
- [j1]Jan Vybíral:
Sampling numbers and function spaces. J. Complex. 23(4-6): 773-792 (2007)
Coauthor Index
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last updated on 2025-01-21 00:05 CET by the dblp team
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