Sergei Pereverzev
Sergei Pereverzev
Professor, Johann Radon Institute for Computational and Applied Mathematics, Austrian Academy of
Verified email at - Homepage
Cited by
Cited by
Geometry of linear ill-posed problems in variable Hilbert scales
P Mathé, SV Pereverzev
Inverse problems 19 (3), 789, 2003
On regularization algorithms in learning theory
F Bauer, S Pereverzev, L Rosasco
Journal of complexity 23 (1), 52-72, 2007
Quantum oscillations between two weakly coupled reservoirs of superfluid 3He
SV Pereverzev, A Loshak, S Backhaus, JC Davis, RE Packard
Nature 388 (6641), 449-451, 1997
Ultrasensitive hot-electron nanobolometers for terahertz astrophysics
J Wei, D Olaya, BS Karasik, SV Pereverzev, AV Sergeev, ME Gershenson
Nature nanotechnology 3 (8), 496-500, 2008
On the adaptive selection of the parameter in regularization of ill-posed problems
S Pereverzev, E Schock
SIAM Journal on Numerical Analysis 43 (5), 2060-2076, 2005
Regularization of some linear ill-posed problems with discretized random noisy data
P Mathé, S Pereverzev
Mathematics of Computation 75 (256), 1913-1929, 2006
Regularization theory for ill-posed problems
S Lu, SV Pereverzev
Regularization Theory for Ill-posed Problems, 2013
Discretization strategy for linear ill-posed problems in variable Hilbert scales
P Mathé, SV Pereverzev
Inverse Problems 19 (6), 1263, 2003
Adaptive estimation of linear functionals in Hilbert scales from indirect white noise observations
A Goldenshluger, SV Pereverzev
Probability Theory and Related Fields 118 (2), 169-186, 2000
Regularization in Hilbert scales under general smoothing conditions
MT Nair, SV Pereverzev, U Tautenhahn
Inverse Problems 21 (6), 1851, 2005
A deep learning approach to diabetic blood glucose prediction
HN Mhaskar, SV Pereverzyev, MD Van der Walt
Frontiers in Applied Mathematics and Statistics 3, 14, 2017
Numerical differentiation from a viewpoint of regularization theory
S Lu, S Pereverzev
Mathematics of computation 75 (256), 1853-1870, 2006
Optimal discretization of inverse problems in Hilbert scales. Regularization and self-regularization of projection methods
P Mathé, SV Pereverzev
SIAM Journal on Numerical Analysis 38 (6), 1999-2021, 2001
Discovery of a metastable π-state in a superfluid 3He weak link
S Backhaus, S Pereverzev, RW Simmonds, A Loshak, JC Davis, ...
Nature 392 (6677), 687-690, 1998
Multi-parameter regularization and its numerical realization
S Lu, SV Pereverzev
Numerische Mathematik 118 (1), 1-31, 2011
Direct measurement of the current-phase relation of a superfluid 3He-B weak link
S Backhaus, SV Pereverzev, A Loshak, JC Davis, RE Packard
Science 278 (5342), 1435-1438, 1997
Morozov's discrepancy principle for tikhonov
S Pereverzev, E Schock
Numerical Functional Analysis and Optimization 21 (7-8), 901-916, 2000
Record-low NEP in hot-electron titanium nanobolometers
BS Karasik, D Olaya, J Wei, S Pereverzev, ME Gershenson, ...
IEEE transactions on applied superconductivity 17 (2), 293-297, 2007
A meta-learning approach to the regularized learning—Case study: Blood glucose prediction
V Naumova, SV Pereverzyev, S Sivananthan
Neural Networks 33, 181-193, 2012
A Carleman estimate and the balancing principle in the quasi-reversibility method for solving the Cauchy problem for the Laplace equation
H Cao, MV Klibanov, SV Pereverzev
Inverse problems 25 (3), 035005, 2009
The system can't perform the operation now. Try again later.
Articles 1–20