Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions

19 May 2018

Papers citing "Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions"

13 / 13 papers shown

Title
Multivariate Conformal Prediction using Optimal Transport Michal Klein Louis Béthune Eugène Ndiaye Marco Cuturi OT 66 3 0 05 Feb 2025
Representation Learning via Variational Bayesian Networks Oren Barkan Avi Caciularu Idan Rejwan Ori Katz Jonathan Weill Itzik Malkiel Noam Koenigstein BDL 24 15 0 28 Jun 2023
Robust probabilistic inference via a constrained transport metric Abhisek Chakraborty A. Bhattacharya D. Pati 33 3 0 17 Mar 2023
Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss Pierre Bréchet Katerina Papagiannouli Jing An Guido Montúfar 36 3 0 06 Mar 2023
Personalised Federated Learning On Heterogeneous Feature Spaces A. Rakotomamonjy Maxime Vono H. M. Ruiz L. Ralaivola FedML 20 8 0 26 Jan 2023
Re-evaluating Word Mover's Distance Ryoma Sato M. Yamada H. Kashima 36 23 0 30 May 2021
Entropy-regularized optimal transport on multivariate normal and q-normal distributions Qijun Tong Kei Kobayashi OT 21 7 0 19 Dec 2020
Similarity of Neural Networks with Gradients Shuai Tang Wesley J. Maddox Charlie Dickens Tom Diethe Andreas C. Damianou 19 25 0 25 Mar 2020
Regularized Optimal Transport is Ground Cost Adversarial Franccois-Pierre Paty Marco Cuturi OT AAML OOD 41 29 0 10 Feb 2020
Geometric Dataset Distances via Optimal Transport David Alvarez-Melis Nicolò Fusi OT 85 194 0 07 Feb 2020
Wasserstein Barycenter Model Ensembling Pierre Dognin Igor Melnyk Youssef Mroueh Jerret Ross Cicero Nogueira dos Santos Tom Sercu 30 24 0 13 Feb 2019
(q,p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs Anton Mallasto J. Frellsen Wouter Boomsma Aasa Feragen 19 15 0 10 Feb 2019
Poincaré GloVe: Hyperbolic Word Embeddings A. Tifrea Gary Bécigneul O. Ganea 27 280 0 15 Oct 2018