Learning Generative Models across Incomparable Spaces

14 May 2019

David Alvarez-Melis

Papers citing "Learning Generative Models across Incomparable Spaces"

22 / 22 papers shown

Title
Robust Point Matching with Distance Profiles Y. Hur Y. Khoo 19 0 0 19 Dec 2023
Optimal Transport for Measures with Noisy Tree Metric Tam Le Truyen V. Nguyen Kenji Fukumizu OT 30 4 0 20 Oct 2023
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport Jianheng Tang Weiqi Zhang Jiajin Li Kangfei Zhao Fugee Tsung Jia Li OT 13 18 0 30 Jan 2023
Personalised Federated Learning On Heterogeneous Feature Spaces A. Rakotomamonjy Maxime Vono H. M. Ruiz L. Ralaivola FedML 18 8 0 26 Jan 2023
Unsupervised 3D Pose Transfer with Cross Consistency and Dual Reconstruction Chaoyue Song Jiacheng Wei Ruibo Li Fayao Liu Guosheng Lin 3DPC 14 21 0 18 Nov 2022
Unbalanced Optimal Transport, from Theory to Numerics Thibault Séjourné Gabriel Peyré Franccois-Xavier Vialard OT 25 47 0 16 Nov 2022
Hybrid Gromov-Wasserstein Embedding for Capsule Learning Pourya Shamsolmoali Masoumeh Zareapoor Swagatam Das Eric Granger Salvador García MedIm 24 2 0 01 Sep 2022
Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification Mengyu Li Jun Yu Hongteng Xu Cheng Meng 26 13 0 26 May 2022
OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation Thanh-Dat Truong N. V. R. Chappa Xuan-Bac Nguyen Ngan Le Ashley Dowling Khoa Luu OOD OT 34 11 0 22 May 2022
Fast and Provably Convergent Algorithms for Gromov-Wasserstein in Graph Data Jiajin Li Jianheng Tang Lemin Kong Huikang Liu Jia Li Anthony Man-Cho So Jose H. Blanchet 36 1 0 17 May 2022
Music-to-Dance Generation with Optimal Transport Shuang Wu Shijian Lu Li Cheng OT 19 3 0 03 Dec 2021
Entropic Gromov-Wasserstein between Gaussian Distributions Khang Le Dung D. Le Huy Nguyen Dat Do Tung Pham Nhat Ho OT 13 18 0 24 Aug 2021
A Survey on Optimal Transport for Machine Learning: Theory and Applications Luis Caicedo Torres Luiz Manella Pereira M. Amini OOD OT 21 47 0 03 Jun 2021
Sliced Multi-Marginal Optimal Transport Samuel N. Cohen Alexander Terenin Yannik Pitcan Brandon Amos M. Deisenroth K. S. S. Kumar OT 11 8 0 14 Feb 2021
Entropy Partial Transport with Tree Metrics: Theory and Practice Tam Le Truyen V. Nguyen OT 22 15 0 24 Jan 2021
Minibatch optimal transport distances; analysis and applications Kilian Fatras Younes Zine Szymon Majewski Rémi Flamary Rémi Gribonval Nicolas Courty OT 63 53 0 05 Jan 2021
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation Thibault Séjourné François-Xavier Vialard Gabriel Peyré OT 16 67 0 09 Sep 2020
Estimating Barycenters of Measures in High Dimensions Samuel N. Cohen Michael Arbel M. Deisenroth 10 22 0 14 Jul 2020
Generalized Spectral Clustering via Gromov-Wasserstein Learning Samir Chowdhury Tom Needham 11 54 0 07 Jun 2020
Gromov-Wasserstein Factorization Models for Graph Clustering Hongteng Xu 14 48 0 19 Nov 2019
Gromov-Wasserstein Averaging in a Riemannian Framework Samir Chowdhury Tom Needham 16 36 0 10 Oct 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching Hongteng Xu Dixin Luo Lawrence Carin 17 190 0 18 May 2019