zhigao2017 / Learning-to-optimize-on-SPD-manifoldsLinks
code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"
☆13Updated 5 years ago
Alternatives and similar repositories for Learning-to-optimize-on-SPD-manifolds
Users that are interested in Learning-to-optimize-on-SPD-manifolds are comparing it to the libraries listed below
Sorting:
- ManifoldNet Paper Implementation for SPD(n)☆11Updated 3 years ago
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆56Updated 4 years ago
- ☆15Updated 4 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 6 years ago
- Grassmannian Optimization for Tensor Completion and Tracking in the t-SVD Algebra☆11Updated 5 years ago
- This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017☆38Updated 6 years ago
- Code for the paper "Tensorizing Generative Adversarial Nets"☆15Updated 7 years ago
- Generalized Canonical Correlation Analysis☆51Updated 8 years ago
- LDS-toolbox: a matlab toolbox for linear dynamical systems (LDSs) modeling☆13Updated 7 years ago
- iADMM for a low-rank representation optimization problem☆13Updated 4 years ago
- Time-Contrastive Learning☆65Updated 7 years ago
- Multivariate Dictionary Learning Algorithm☆24Updated last year
- Riemannian stochastic optimization algorithms: Version 1.0.3☆64Updated 2 years ago
- ☆41Updated 5 years ago
- This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".☆43Updated 4 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- ☆10Updated 4 years ago
- Convolution dictionary learning for time-series☆132Updated last month
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆22Updated last year
- CRsAE (constrained recurrent sparse autoencoder)☆15Updated 3 months ago
- Matlab Code of Bayesian Robust Tensor Factorization☆11Updated 9 years ago
- GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices☆18Updated 3 years ago
- Pytorch code for TM-GCN, a Dynamic Graph Convolutional Networks Using the Tensor M-Product☆28Updated 4 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 9 years ago
- This is a matlab implementation of our article, titled "DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning", which has …☆14Updated 2 years ago
- Benchmarks for Out-of-Distribution Generalization in Time Series Tasks☆70Updated 3 years ago
- Implementation of learning a Gaussian mixture model using tensor decomposition.☆15Updated 8 years ago
- ☆17Updated 3 years ago
- Code for "Generalised Interpretable Shapelets for Irregular Time Series"☆57Updated 2 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆103Updated 4 years ago