OOIR: Observatory of International Research

Papers

(The TQCC of Applied and Computational Harmonic Analysis is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-06-01 to 2025-06-01.)

Article	Citations
Introduction to the Special Issue on Harmonic Analysis and Machine Learning	64
Kadec-type theorems for sampled group orbits	51
On the numerical evaluation of the prolate spheroidal wave functions of order zero	43
Convergence of sparse grid Gaussian convolution approximation for multi-dimensional periodic functions	36
A diffusion + wavelet-window method for recovery of super-resolution point-masses with application to single-molecule microscopy and beyond	35
Scale dependencies and self-similar models with wavelet scattering spectra	32
Spatiotemporal analysis using Riemannian composition of diffusion operators	30
Editorial Board	28
Editorial Board	28
A stochastic sparse representation: n-best approximation to random signals and computation	26
Kernel conjugate gradient methods with random projections	26
Generalization error of random feature and kernel methods: Hypercontractivity and kernel matrix concentration	25
Error estimate of the u-series method for molecular dynamics simulations	24
A note on spike localization for line spectrum estimation	22
Unlimited sampling beyond modulo	21
Reproducing kernel Hilbert space compactification of unitary evolution groups	20
On a discrete transform of homogeneous decomposition spaces	20
Generalization error guaranteed auto-encoder-based nonlinear model reduction for operator learning	20
Geometric component analysis and its applications to data analysis	19
Estimates on learning rates for multi-penalty distribution regression	19
AP-frames and stationary random processes	19
Dispersion, spreading and sparsity of Gabor wave packets for metaplectic and Schrödinger operators	18
Complete interpolating sequences for the Gaussian shift-invariant space	18
Biorthogonal Greedy Algorithms in convex optimization	17
Dilational symmetries of decomposition and coorbit spaces	17

On the evaluation of the eigendecomposition of the Airy integral operator	17
Beurling dimension of spectra for a class of random convolutions on R<	17
Editorial Board	16
Irregular Gabor frames of Cauchy kernels	15
Marcinkiewicz–Zygmund inequalities for scattered and random data on the q-sphere	15
Random sampling and reconstruction of concentrated signals in a reproducing kernel space	14
Eigenmatrix for unstructured sparse recovery	14
Controlled learning of pointwise nonlinearities in neural-network-like architectures	14
Functional penalised basis pursuit on spheres	13
Finite alphabet phase retrieval	13
Ranking recovery from limited pairwise comparisons using low-rank matrix completion	13
A simple approach for quantizing neural networks	13
Uniform recovery in infinite-dimensional compressed sensing and applications to structured binary sampling	12
Adaptive parameter selection for kernel ridge regression	12
On the number of faces and radii of cells induced by Gaussian spherical tessellations	12
Gaussian random field approximation via Stein's method with applications to wide random neural networks	11
A fractal uncertainty principle for the short-time Fourier transform and Gabor multipliers	11
n-Best kernel approximation in reproducing kernel Hilbert spaces	11
Regularization of inverse problems by filtered diagonal frame decomposition	10
An efficient spatial discretization of spans of multivariate Chebyshev polynomials	10
Stable parameterization of continuous and piecewise-linear functions	10
Data-driven optimal shrinkage of singular values under high-dimensional noise with separable covariance structure with application	10
On the relation between Fourier and Walsh–Rademacher spectra for random fields	10
On the intermediate value property of spectra for a class of Moran spectral measures	10
A sufficient condition for mobile sampling in terms of surface density	9
An unbounded operator theory approach to lower frame and Riesz-Fischer sequences	9
Dimension reduction, exact recovery, and error estimates for sparse reconstruction in phase space	8
Frames of translates for model sets	8
Estimation under group actions: Recovering orbits from invariants	8
Editorial Board	8
Spectral analysis of weighted Laplacians arising in data clustering	8
On the accuracy of Prony's method for recovery of exponential sums with closely spaced exponents	8
Solving phase retrieval with random initial guess is nearly as good as by spectral initialization	8
Phase retrieval for sub-Gaussian measurements	8
Divergence-free quasi-interpolation	8
Synthesis-based time-scale transforms for non-stationary signals	8
Editorial Board	7
Fundamental component enhancement via adaptive nonlinear activation functions	7
Constructive subsampling of finite frames with applications in optimal function recovery	7
Weighted variation spaces and approximation by shallow ReLU networks	7
Lower bounds on the low-distortion embedding dimension of submanifolds of 7
Laplace-Beltrami operator on the orthogonal group in ambient (Euclidean) coordinates	7
Tikhonov regularization for Gaussian empirical gain maximization in RKHS is consistent	6
The springback penalty for robust signal recovery	6
Positive definite multi-kernels for scattered data interpolations	6
Non-asymptotic bounds for discrete prolate spheroidal wave functions analogous with prolate spheroidal wave function bounds	6
Optimal (α,d)-multi-completion of d-designs	6
Algebraic compressed sensing	6
Spectral convergence of graph Laplacian and heat kernel reconstruction in L∞ from random samples	6
Linearized Wasserstein dimensionality reduction with approximation guarantees	6

A one-bit, comparison-based gradient estimator	6
A unified approach to synchronization problems over subgroups of the orthogonal group	6
Spectrality of generalized Sierpinski-type self-affine measures	6
Generalization bounds for sparse random feature expansions	6
Graph signal interpolation with positive definite graph basis functions	5
Stability of iterated dyadic filter banks	5
Uniform approximation of common Gaussian process kernels using equispaced Fourier grids	5
Performance bounds of the intensity-based estimators for noisy phase retrieval	5
Frames by orbits of two operators that commute	5
Geometric scattering on measure spaces	5
Editorial Board	5
Strongly convex optimization for joint fractal feature estimation and texture segmentation	5
Deep microlocal reconstruction for limited-angle tomography	5
Solving PDEs on unknown manifolds with machine learning	5
The G-invariant graph Laplacian part II: Diffusion maps	5
On a regularization of unsupervised domain adaptation in RKHS	5
Sparse signal recovery from phaseless measurements via hard thresholding pursuit	5
Editorial Board	5
Gaussian approximation for the moving averaged modulus wavelet transform and its variants	5
Metric entropy limits on recurrent neural network learning of linear dynamical systems	5
The beltway problem over orthogonal groups	5
Editorial Board	5
Maximum entropy models from phase harmonic covariances	5
Editorial Board	5
Time-frequency analysis on flat tori and Gabor frames in finite dimensions	5
Group projected subspace pursuit for block sparse signal reconstruction: Convergence analysis and applications	5