Jan Vybíral - RankMe

40 papers Misc 1Journal 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Changes of the Editorial Board. J. Complex. Josef Dick, Erich Novak, Friedrich Pillichshammer, Klaus Ritter, Jan Vybíral, Henryk Wozniakowski
2026	J	`jnl`	Nonlocal Techniques for the Analysis of Deep ReLU Neural Network Approximations. J. Mach. Learn. Res. Cornelia Schneider, Mario Ullrich, Jan Vybíral
2026	J	`jnl`	Special Issue of the Journal of Complexity. J. Complex. Josef Dick, Michael Gnewuch, Erich Novak, Leszek Plaskota, Jan Vybíral
2025	J	`jnl`	Lower bounds on the minimal dispersion of point sets via cover-free families. J. Complex. Matej Trödler, Jan Volec, Jan Vybíral
2025	J	`jnl`	Nonlocal techniques for the analysis of deep ReLU neural network approximations. CoRR Cornelia Schneider, Mario Ullrich, Jan Vybíral
2025	J	`jnl`	Stefan Heinrich is the Winner of the 2024 Best Paper Award of the Journal of Complexity. J. Complex. Erich Novak, Mario Ullrich, Jan Vybíral
2024	J	`jnl`	A tight lower bound on the minimal dispersion. Eur. J. Comb. Matej Trödler, Jan Volec, Jan Vybíral
2024	J	`jnl`	Entropy numbers of finite-dimensional Lorentz space embeddings. CoRR Joscha Prochno, Mathias Sonnleitner, Jan Vybíral
2024	J	`jnl`	Robust network formation with biological applications. Networks Heterog. Media Jan Haskovec, Jan Vybíral
2023	J	`jnl`	A multivariate Riesz basis of ReLU neural networks. CoRR Cornelia Schneider, Jan Vybíral
2023	J	`jnl`	A tight lower bound on the minimal dispersion. CoRR Matej Trödler, Jan Volec, Jan Vybíral
2023	J	`jnl`	Algorithms and Complexity for Continuous Problems (Dagstuhl Seminar 23351). Dagstuhl Reports Dmitriy Bilyk, Michael Gnewuch, Jan Vybíral, Larisa Yaroslavtseva, Kumar Harsha
2023	J	`jnl`	New lower bounds for the integration of periodic functions. CoRR David Krieg, Jan Vybíral
2022	J	`jnl`	Deterministic Constructions of High-Dimensional Sets with Small Dispersion. Algorithmica Mario Ullrich, Jan Vybíral
2022	J	`jnl`	Lower bounds for integration and recovery in J. Complex. Aicke Hinrichs, David Krieg, Erich Novak, Jan Vybíral
2021	J	`jnl`	Lower bounds for integration and recovery in L CoRR Aicke Hinrichs, David Krieg, Erich Novak, Jan Vybíral
2021	J	`jnl`	Lower bounds for the error of quadrature formulas for Hilbert spaces. J. Complex. Aicke Hinrichs, David Krieg, Erich Novak, Jan Vybíral
2020	J	`jnl`	Lower Bounds for the Error of Quadrature Formulas for Hilbert Spaces. CoRR Aicke Hinrichs, David Krieg, Erich Novak, Jan Vybíral
2020	J	`jnl`	On the volume of unit balls of finite-dimensional Lorentz spaces. J. Approx. Theory Anna Dolezalová, Jan Vybíral
2019	J	`jnl`	A variant of Schur's product theorem and its applications. CoRR Jan Vybíral
2019	J	`jnl`	Deterministic constructions of high-dimensional sets with small dispersion. CoRR Mario Ullrich, Jan Vybíral
2019	J	`jnl`	The minimal k-dispersion of point sets in high dimensions. J. Complex. Aicke Hinrichs, Joscha Prochno, Mario Ullrich, Jan Vybíral
2018	J	`jnl`	An upper bound on the minimal dispersion. J. Complex. Mario Ullrich, Jan Vybíral
2018	J	`jnl`	Identification of Shallow Neural Networks by Fewest Samples. CoRR Massimo Fornasier, Jan Vybíral, Ingrid Daubechies
2017	J	`jnl`	Non-Asymptotic Analysis of ℓ IEEE Trans. Inf. Theory Anton Kolleck, Jan Vybíral
2017	J	`jnl`	Sparse Proteomics Analysis - a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data. BMC Bioinform. Tim O. F. Conrad, Martin Genzel, Nada Cvetkovic, Niklas Wulkow, Alexander B. Leichtle, Jan Vybíral, Gitta Kutyniok, Christof Schütte
2015	J	`jnl`	Non-asymptotic Analysis of ℓ CoRR Anton Kolleck, Jan Vybíral
2015	J	`jnl`	On some aspects of approximation of ridge functions. J. Approx. Theory Anton Kolleck, Jan Vybíral
2014	J	`jnl`	Weak and quasi-polynomial tractability of approximation of infinitely differentiable functions. J. Complex. Jan Vybíral
2012	J	`jnl`	Learning Functions of Few Arbitrary Linear Parameters in High Dimensions. Found. Comput. Math. Massimo Fornasier, Karin Schnass, Jan Vybíral
2011	Misc	`conf`	Compressed learning of high-dimensional sparse functions. ICASSP Karin Schnass, Jan Vybíral
2011	J	`jnl`	Johnson-Lindenstrauss lemma for circulant matrices. Random Struct. Algorithms Aicke Hinrichs, Jan Vybíral
2011	J	`jnl`	On positive positive-definite functions and Bochner's Theorem. J. Complex. Aicke Hinrichs, Jan Vybíral
2011	J	`jnl`	Particle Systems and Kinetic Equations Modeling Interacting Agents in High Dimension. Multiscale Model. Simul. Massimo Fornasier, Jan Haskovec, Jan Vybíral
2010	J	`jnl`	Johnson-Lindenstrauss lemma for circulant matrices CoRR Aicke Hinrichs, Jan Vybíral
2010	J	`jnl`	Learning Functions of Few Arbitrary Linear Parameters in High Dimensions CoRR Massimo Fornasier, Karin Schnass, Jan Vybíral
2009	J	`jnl`	Corrigendum to the paper: "On approximation numbers of Sobolev embeddings of weighted function spaces" [J. Approx. Theory 136 (2005) 91-107]. J. Approx. Theory Leszek Skrzypczak, Jan Vybíral
2008	J	`jnl`	Linear information versus function evaluations for L J. Approx. Theory Aicke Hinrichs, Erich Novak, Jan Vybíral
2008	J	`jnl`	Widths of embeddings in function spaces. J. Complex. Jan Vybíral
2007	J	`jnl`	Sampling numbers and function spaces. J. Complex. Jan Vybíral