Citation Impact
Citing Papers
Navigating the protein fitness landscape with Gaussian processes
2012 StandoutNobel
Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
2009 Standout
Large Automatic Learning, Rule Extraction, and Generalization.
1987 StandoutNobel
Monte Carlo and quasi-Monte Carlo methods
1998 Standout
Cross-correlations of American baby names
2015 StandoutNobel
TT-cross approximation for multidimensional arrays
2009 Standout
The quickhull algorithm for convex hulls
1996 Standout
Analysis of Discrete Ill-Posed Problems by Means of the L-Curve
1992 Standout
The university of Florida sparse matrix collection
2011 Standout
Condition Numbers of Gaussian Random Matrices
2005
Model-Based Geostatistics
1998 Standout
Condition numbers of random matrices
1991
Noise Dressing of Financial Correlation Matrices
1999 Standout
On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas
1998 Standout
Interpolation of Spatial Data
1999
From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
2009 Standout
Scrambled net variance for integrals of smooth functions
1997
When Are Quasi-Monte Carlo Algorithms Efficient for High Dimensional Integrals?
1998
Compressed sensing
2006 Standout
Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions
2011 Standout
On Statistical Model Validation
1996
Centroidal Voronoi Tessellations: Applications and Algorithms
1999 Standout
Fading channels: information-theoretic and communications aspects
1998 Standout
Bayesian Calibration of Computer Models
2001 Standout
On the achievable throughput of a multiantenna Gaussian broadcast channel
2003 Standout
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
2018 Standout
Numerical integration using sparse grids
1998
Testing linear operators
1995
Review of Metamodeling Techniques in Support of Engineering Design Optimization
2006 Standout
Tensor-Train Decomposition
2011 Standout
Eigenvalues and Condition Numbers of Random Matrices
1988 Standout
Discrete Choice Methods with Simulation
2001 Standout
Average case complexity of multivariate integration
1991
Principles and methods of testing finite state machines-a survey
1996 Standout
Multivariable geostatistics in S: the gstat package
2004 Standout
Physics-informed machine learning
2021 Standout
Stable signal recovery from incomplete and inaccurate measurements
2006 Standout
Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
2006 Standout
Information-Based Complexity
1989 Science
The adaption problem for approximating linear operators
1990
Cubature Kalman Filters
2009 Standout
For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution
2006 Standout
On the Power of Adaption
1996
An Efficient Sampling Technique for Off-Line Quality Control
1997
Operator-Adapted Wavelets, Fast Solvers, and Numerical Homogenization
2019
Constructing strongly convex approximate hulls with inaccurate primitives
1993
Verification and validation in computational fluid dynamics
2002 Standout
The asymptotic efficiency of randomized nets for quadrature
1999
Decoding by Linear Programming
2005 Standout
Deterministic and Stochastic Error Bounds in Numerical Analysis
1988
On the distribution of the largest eigenvalue in principal components analysis
2001 Standout
An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
2011 Standout
Works of G.W. Wasilkowski being referenced
Numerical stability of a convex hull algorithm for simple polygons
1993
Explicit Cost Bounds of Algorithms for Multivariate Tensor Product Problems
1995
On Optimal Algorithms in an Asymptotic Model with Gaussian Measure
1988
Integration and Approximation of Multivariate Functions: Average Case Complexity with Isotropic Wiener Measure
1994
Randomization for continuous problems
1989
On average complexity of global optimization problems
1992
Can adaption help on the average?
1984
Information of varying cardinality
1986
Average case optimal algorithms in Hilbert spaces
1986
On the power of adaptive information for functions with singularities
1992
Average case optimality for linear problems
1984
Maximum likelihood estimators and worst case optimal algorithms for system identification
1988
A clock synchronization problem with random delays
1989
There Exists a Linear Problem with Infinite Combinatory Complexity
1993
How powerful is continuous nonlinear information for linear problems?
1986
Approximation of linear functionals on a banach space with a Gaussian measure
1986
Average condition number for solving linear equations
1986
On the average complexity of multivariate problems
1990
Optimal algorithms for linear problems with Gaussian measures
1986
On the Power of Adaptive Information for Functions with Singularities
1992
Integration and approximation of multivariate functions: average case complexity with isotropic Wiener measure
1993
Some nonlinear problems are as easy as the approximation problem
1984