HanbaekLyu / ONMF_ONTF_NDL
Online Matrix/Tensor Factorization and applications to Network Dictionary Learning and images
☆13Updated 3 years ago
Alternatives and similar repositories for ONMF_ONTF_NDL:
Users that are interested in ONMF_ONTF_NDL are comparing it to the libraries listed below
- Grassmannian Optimization for Tensor Completion and Tracking in the t-SVD Algebra☆9Updated 4 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆18Updated 5 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Updated 5 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆64Updated 2 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆98Updated 3 years ago
- PyTorch implementation of Robust Non-negative Tensor Factorization appearing in N. Dey, et al., "Robust Non-negative Tensor Factorization…☆20Updated last year
- Code for AISTATS 2023 paper - Estimating Total Correlation with Mutual Information Estimators☆16Updated last year
- Official repository of the paper "A Variational Approximation for Analyzing the Dynamics of Panel Data". Mixed Effect Neural ODE. UAI 202…☆8Updated 3 years ago
- Code for nonconvex graph trend filtering☆10Updated 2 years ago
- We introduce a way to extend sparse dictionary learning to deep architectures.☆16Updated 3 years ago
- Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection☆30Updated 3 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- ☆15Updated 4 years ago
- Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018☆26Updated 7 years ago
- ☆8Updated 4 years ago
- SSNMF models and multiplicative update methods.☆11Updated 3 years ago
- [Tool] Low rank matrix recovery by minimizing matrix norm☆48Updated 4 years ago
- Code for NIPS 2017 spotlight paper: "Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration" by Jason Alt…☆31Updated 7 years ago
- Code for Sliced Gromov-Wasserstein☆68Updated 5 years ago
- Code for the paper "XAI Beyond Classification: Interpretable Neural Clustering" (JMLR 2022)☆13Updated 3 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Updated 4 years ago
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆20Updated 3 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- A Python implementation of Monge optimal transportation☆49Updated last year
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- A matlab library for CUR matrix decomposition☆26Updated 7 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 2 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆23Updated 2 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆31Updated 2 years ago