Sliced Wasserstein Distance for Learning Gaussian Mixture Models

15 November 2017

Papers citing "Sliced Wasserstein Distance for Learning Gaussian Mixture Models"

29 / 29 papers shown

Title
Improved learning theory for kernel distribution regression with two-stage sampling François Bachoc Louis Bethune Alberto González Sanz Jean-Michel Loubes 98 1 0 28 Jan 2025
PianoMotion10M: Dataset and Benchmark for Hand Motion Generation in Piano Performance Qijun Gan Song Wang Shengtao Wu Jianke Zhu 65 1 0 13 Jun 2024
Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions Khai Nguyen Nhat Ho 47 3 0 23 Apr 2024
Federated Multi-View Synthesizing for Metaverse Yiyu Guo Zhijing Qin Xiaoming Tao Geoffrey Ye Li 41 8 0 18 Dec 2023
An Efficient 1 Iteration Learning Algorithm for Gaussian Mixture Model And Gaussian Mixture Embedding For Neural Network Weiguo Lu Xuan Wu Deng Ding Gangnan Yuan BDL 30 1 0 18 Aug 2023
Cramer Type Distances for Learning Gaussian Mixture Models by Gradient Descent Ruichong Zhang 28 0 0 13 Jul 2023
Weak Limits for Empirical Entropic Optimal Transport: Beyond Smooth Costs Alberto González Sanz Shayan Hundrieser OT 36 9 0 16 May 2023
Energy-Based Sliced Wasserstein Distance Khai Nguyen Nhat Ho 30 21 0 26 Apr 2023
Regularized Optimal Transport Layers for Generalized Global Pooling Operations Hongteng Xu Minjie Cheng 43 4 0 13 Dec 2022
Gaussian Processes on Distributions based on Regularized Optimal Transport François Bachoc Louis Bethune Alberto González Sanz Jean-Michel Loubes GP OT 34 7 0 12 Oct 2022
Hierarchical Sliced Wasserstein Distance Khai Nguyen Tongzheng Ren Huy Nguyen Litu Rout T. Nguyen Nhat Ho 38 20 0 27 Sep 2022
Wasserstein Distributional Learning Chengliang Tang N. Lenssen Ying Wei Tian Zheng 18 0 0 12 Sep 2022
An Optimal Transport Approach to Personalized Federated Learning Farzan Farnia Amirhossein Reisizadeh Ramtin Pedarsani Ali Jadbabaie OT OOD FedML 35 12 0 06 Jun 2022
Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution Khai Nguyen Nhat Ho 30 25 0 04 Apr 2022
Bringing Linearly Transformed Cosines to Anisotropic GGX T. AakashK. Eric Heitz Jonathan Dupuy P. J. Narayanan 13 10 0 22 Mar 2022
A sampling-based approach for efficient clustering in large datasets Georgios Exarchakis Omar Oubari Gregor Lenz 25 5 0 29 Dec 2021
Projected Sliced Wasserstein Autoencoder-based Hyperspectral Images Anomaly Detection Yurong Chen Hui Zhang Yaonan Wang Q. M. J. Wu Yimin Yang 27 0 0 20 Dec 2021
Weakly Supervised High-Fidelity Clothing Model Generation Ruili Feng Cheng Ma Chengji Shen Xin Gao Zhenjiang Liu Xiaobo Li Kairi Ou Zhengjun Zha 3DH 27 11 0 14 Dec 2021
Towards to Robust and Generalized Medical Image Segmentation Framework Yurong Chen OOD 35 3 0 09 Aug 2021
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections Kimia Nadjahi Alain Durmus Pierre E. Jacob Roland Badeau Umut Simsekli 23 37 0 29 Jun 2021
Voice2Series: Reprogramming Acoustic Models for Time Series Classification Chao-Han Huck Yang Yun-Yun Tsai Pin-Yu Chen AI4TS 29 122 0 17 Jun 2021
Recovery of Joint Probability Distribution from one-way marginals: Low rank Tensors and Random Projections Jian Vora Karthik S. Gurumoorthy Ajit V. Rajwade 40 6 0 22 Mar 2021
Minibatch optimal transport distances; analysis and applications Kilian Fatras Younes Zine Szymon Majewski Rémi Flamary Rémi Gribonval Nicolas Courty OT 79 54 0 05 Jan 2021
Distributed Learning of Finite Gaussian Mixtures Qiong Zhang Jiahua Chen 49 8 0 20 Oct 2020
Statistical and Topological Properties of Sliced Probability Divergences Kimia Nadjahi Alain Durmus Lénaïc Chizat Soheil Kolouri Shahin Shahrampour Umut Simsekli 26 81 0 12 Mar 2020
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning Daniel Kuhn Peyman Mohajerin Esfahani Viet Anh Nguyen Soroosh Shafieezadeh-Abadeh OOD 25 389 0 23 Aug 2019
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay Mohammad Rostami Soheil Kolouri Praveen K. Pilly CLL 22 67 0 11 Mar 2019
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation Chen-Yu Lee Tanmay Batra M. H. Baig Daniel Ulbricht 47 538 0 10 Mar 2019
Improved Deep Spectral Convolution Network For Hyperspectral Unmixing With Multinomial Mixture Kernel and Endmember Uncertainty Savas Ozkan G. Akar UQCV 14 13 0 03 Aug 2018