On the Uniqueness of Kantorovich Potentials.

Nonlinear Inverse Optimal Transport: Identifiability of the Transport Cost from Its Marginals and Optimal Values.

The Ultrametric Gromov-Wasserstein Distance.

Statistical Analysis of Random Objects Via Metric Measure Laplacians.

A scalable clustering algorithm to approximate graph cuts.

Quick Adaptive Ternary Segmentation: An Efficient Decoding Procedure For Hidden Markov Models.

Randomized Wasserstein Barycenter Computation: Resampling with Statistical Guarantees.

Statistical Methods for Minimax Estimation in Linear Models with Unknown Design Over Finite Alphabets.

Towards quantitative super-resolution microscopy: Molecular maps with statistical guarantees.

Limit laws for empirical optimal solutions in random linear programs.

Colocalization for super-resolution microscopy via optimal transport.

Multiple haplotype reconstruction from allele frequency data.

Minimax detection of localized signals in statistical inverse problems.

Empirical Regularized Optimal Transport: Statistical Theory and Applications.

Optimistic search strategy: Change point detection for large-scale data via adaptive logarithmic queries.

Variational Multiscale Nonparametric Regression: Algorithms and Implementation.

Optimal Transport: Fast Probabilistic Approximation with Exact Solvers.

Identifiability for Blind Source Separation of Multiple Finite Alphabet Linear Mixtures.

Kernel Partial Least Squares for Stationary Data.

Persistence Barcodes Versus Kolmogorov Signatures: Detecting Modes of One-Dimensional Signals.

Limit laws of the empirical Wasserstein distance: Gaussian distributions.

Security Considerations in Minutiae-Based Fuzzy Vaults.

Persistent Homology meets Statistical Inference - A Case Study: Detecting Modes of One-Dimensional Signals.

Multiscale DNA partitioning: statistical evidence for segments.

Statistical Multiresolution Estimation for Variational Imaging: With an Application in Poisson-Biophotonics.

Locally adaptive image denoising by a statistical multiresolution criterion.

Modeling the Growth of Fingerprints Improves Matching for Adolescents.

Statistical Multiresolution Dantzig Estimation in Imaging: Fundamental Concepts and Algorithmic Framework.

Intrinsic MANOVA for Riemannian Manifolds with an Application to Kendall's Space of Planar Shapes.

Robust orientation field estimation and extrapolation using semilocal line sensors.

Iteratively Regularized Gauss-Newton Method for Nonlinear Inverse Problems with Random Noise.

Convergence Analysis of Generalized Iteratively Reweighted Least Squares Algorithms on Convex Function Spaces.

Global Models for the Orientation Field of Fingerprints: An Approach Based on Quadratic Differentials.

Convergence Rates of General Regularization Methods for Statistical Inverse Problems and Applications.

Testing parametric assumptions on band- or time-limited signals under noise.

Testing general hypotheses under binomial sampling: the two sample case - asymptotic theory and exact procedures.

Unconditional exact tests for the difference of binomial probabilities - contrasted and compared.