OOIR: Observatory of International Research

Papers

(The TQCC of SIAM Journal on Mathematics of Data Science is 4. 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 2021-05-01 to 2025-05-01.)

Article	Citations
A Simple and Optimal Algorithm for Strict Circular Seriation	31
Taming Neural Networks with TUSLA: Nonconvex Learning via Adaptive Stochastic Gradient Langevin Algorithms	24
Quantitative Approximation Results for Complex-Valued Neural Networks	18
Adaptivity of Stochastic Gradient Methods for Nonconvex Optimization	18
New Equivalences between Interpolation and SVMs: Kernels and Structured Features	18
On the Inconsistency of Kernel Ridgeless Regression in Fixed Dimensions	17
A Note on the Regularity of Images Generated by Convolutional Neural Networks	16
Learning Functions Varying along a Central Subspace	15
Efficient Algorithms for Regularized Nonnegative Scale-Invariant Low-Rank Approximation Models	15
Persistent Laplacians: Properties, Algorithms and Implications	11
Poisson Reweighted Laplacian Uncertainty Sampling for Graph-Based Active Learning	11
Wassmap: Wasserstein Isometric Mapping for Image Manifold Learning	11
Safe Rules for the Identification of Zeros in the Solutions of the SLOPE Problem	11
Nonbacktracking Spectral Clustering of Nonuniform Hypergraphs	11
CA-PCA: Manifold Dimension Estimation, Adapted for Curvature	10
Scalable Tensor Methods for Nonuniform Hypergraphs	10
Convergence of a Piggyback-Style Method for the Differentiation of Solutions of Standard Saddle-Point Problems	10
A Variational Formulation of Accelerated Optimization on Riemannian Manifolds	9
Asymptotics of the Sketched Pseudoinverse	9
The GenCol Algorithm for High-Dimensional Optimal Transport: General Formulation and Application to Barycenters and Wasserstein Splines	9
Inverse Evolution Layers: Physics-Informed Regularizers for Image Segmentation	8
Stochastic Variance-Reduced Majorization-Minimization Algorithms	8
The Sample Complexity of Sparse Multireference Alignment and Single-Particle Cryo-Electron Microscopy	7
Benefit of Interpolation in Nearest Neighbor Algorithms	7
Function-Space Optimality of Neural Architectures with Multivariate Nonlinearities	7

Group-Invariant Tensor Train Networks for Supervised Learning	7
Supervised Gromov–Wasserstein Optimal Transport with Metric-Preserving Constraints	6
Bi-Invariant Dissimilarity Measures for Sample Distributions in Lie Groups	6
Finite-Time Analysis of Natural Actor-Critic for POMDPs	6
Numerical Considerations and a new implementation for invariant coordinate selection	6
The Geometric Median and Applications to Robust Mean Estimation	6
Optimal Dorfman Group Testing for Symmetric Distributions	6
ABBA Neural Networks: Coping with Positivity, Expressivity, and Robustness	5
Post-training Quantization for Neural Networks with Provable Guarantees	5
Efficient Identification of Butterfly Sparse Matrix Factorizations	5
A Nonlinear Matrix Decomposition for Mining the Zeros of Sparse Data	5
Computing Wasserstein Barycenters via Operator Splitting: The Method of Averaged Marginals	5
LASSO Reloaded: A Variational Analysis Perspective with Applications to Compressed Sensing	5
Optimality Conditions for Nonsmooth Nonconvex-Nonconcave Min-Max Problems and Generative Adversarial Networks	4
Randomized Wasserstein Barycenter Computation: Resampling with Statistical Guarantees	4
Sequential Construction and Dimension Reduction of Gaussian Processes Under Inequality Constraints	4
KL Convergence Guarantees for Score Diffusion Models under Minimal Data Assumptions	4
Adaptive Joint Distribution Learning	4
Operator Shifting for General Noisy Matrix Systems	4
Sensitivity-Informed Provable Pruning of Neural Networks	4
Feel-Good Thompson Sampling for Contextual Bandits and Reinforcement Learning	4
Memory Capacity of Two Layer Neural Networks with Smooth Activations	4
Robust Classification Under $\ell_0$ Attack for the Gaussian Mixture Model	4
Accelerated and Instance-Optimal Policy Evaluation with Linear Function Approximation	4