:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Adamo, Davide, Corneli, Marco, Vuillien, Manon, Vila, Emmanuelle
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2507.00894
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Learning
by: Ramírez, Guillem, et al.
Published: (2020)

Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem
by: Even, Mathieu, et al.
Published: (2024)

Metric properties of partial and robust Gromov-Wasserstein distances
by: Chhoa, Jannatul, et al.
Published: (2024)

Bridging Maximum Likelihood and Optimal Transport for Efficient Inference and Model Selection in Stochastic Block Models
by: Queric, Simon, et al.
Published: (2026)

Clustered KL-barycenter design for policy evaluation
by: Weissmann, Simon, et al.
Published: (2025)

Max-sliced 2-Wasserstein distance
by: Boedihardjo, March T.
Published: (2024)

When Embedding Models Meet: Procrustes Bounds and Applications
by: Maystre, Lucas, et al.
Published: (2025)

On Wasserstein distances for affine transformations of random vectors
by: Hamm, Keaton, et al.
Published: (2023)

Note on computational complexity of the Gromov-Wasserstein distance
by: Kravtsova, Natalia
Published: (2024)

Centered plug-in estimation of Wasserstein distances
by: Papp, Tamás P., et al.
Published: (2022)

Sharp bounds for max-sliced Wasserstein distances
by: Boedihardjo, March T.
Published: (2024)

Gaussian Embedding of Temporal Networks
by: Romero, Raphaël, et al.
Published: (2024)

COMPOT: Calibration-Optimized Matrix Procrustes Orthogonalization for Transformers Compression
by: Makhov, Denis, et al.
Published: (2026)

Wasserstein projection distance for fairness testing of regression models
by: Li, Wanxin, et al.
Published: (2025)

Repulsive Monte Carlo on the sphere for the sliced Wasserstein distance
by: Petrovic, Vladimir, et al.
Published: (2025)

A dimensionality reduction technique based on the Gromov-Wasserstein distance
by: Eufrazio, Rafael P., et al.
Published: (2025)

Fast unsupervised ground metric learning with tree-Wasserstein distance
by: Düsterwald, Kira M., et al.
Published: (2024)

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations
by: Grishina, Ekaterina, et al.
Published: (2025)

Beyond R-barycenters: an effective averaging method on Stiefel and Grassmann manifolds
by: Bouchard, Florent, et al.
Published: (2025)

Finite sample bounds for barycenter estimation in geodesic spaces
by: Brunel, Victor-Emmanuel, et al.
Published: (2025)

Generalized infinite dimensional Alpha-Procrustes based geometries
by: Goomanee, Salvish, et al.
Published: (2025)

Generalized Orthogonal Procrustes Problem under Arbitrary Adversaries
by: Ling, Shuyang
Published: (2021)

On Procrustes Contamination in Machine Learning Applications of Geometric Morphometrics
by: Courtenay, Lloyd Austin
Published: (2026)

Enhancing selectivity using Wasserstein distance based reweighing
by: Worah, Pratik
Published: (2024)

Procrustes Wasserstein Metric: A Modified Benamou-Brenier Approach with Applications to Latent Gaussian Distributions
by: Toukam, Kevine Meugang
Published: (2025)

$h$-Wasserstein barycenters
by: Brizzi, Camilla, et al.
Published: (2024)

$p$-Wasserstein barycenters
by: Brizzi, Camilla, et al.
Published: (2024)

Robust Wasserstein barycenter
by: Cheng, Zixiong, et al.
Published: (2026)

Estimation and inference for the Wasserstein distance between mixing measures in topic models
by: Bing, Xin, et al.
Published: (2022)

A deeper look at depth pruning of LLMs
by: Siddiqui, Shoaib Ahmed, et al.
Published: (2024)

FLoRG: Federated Fine-tuning with Low-rank Gram Matrices and Procrustes Alignment
by: Meng, Chuiyang, et al.
Published: (2026)

On sparsity, extremal structure, and monotonicity properties of Wasserstein and Gromov-Wasserstein optimal transport plans
by: Vayer, Titouan
Published: (2026)

Active Learning for Regression based on Wasserstein distance and GroupSort Neural Networks
by: Bobbia, Benjamin, et al.
Published: (2024)

Frequency-domain alignment of heterogeneous, multidimensional separations data through complex orthogonal Procrustes analysis
by: Armstrong, Michael Sorochan
Published: (2025)

Orthogonal Procrustes problem preserves correlations in synthetic data
by: Ounissi, Oussama, et al.
Published: (2025)

On the geometry of Wasserstein barycenter I
by: Han, Bang-Xian, et al.
Published: (2024)

Wasserstein barycenters on metric graphs
by: Bertrand, Jérôme, et al.
Published: (2026)

Smoothed estimation of Wasserstein barycenters
by: Li, Pengtao, et al.
Published: (2026)

Classifier-free graph diffusion for molecular property targeting
by: Ninniri, Matteo, et al.
Published: (2023)

Minimum Wasserstein distance estimator under covariate shift: closed-form, super-efficiency and irregularity
by: Lang, Junjun, et al.
Published: (2026)