siplab-gt / hiwa-matlab
Hierarchical Wasserstein Alignment
☆9Updated 5 years ago
Alternatives and similar repositories for hiwa-matlab:
Users that are interested in hiwa-matlab are comparing it to the libraries listed below
- PyTorch implementation of Swap-VAE: A self-supervised approach for generating neural activity☆13Updated 3 years ago
- Latent optimal transport (LOT) for low rank transport and clustering☆19Updated 3 years ago
- Alignment between clustered datasets via hierarchical Wasserstein distance☆37Updated last year
- PyTorch Implementation - Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction☆31Updated 3 years ago
- PyTorch implementation of "Seeing the forest and the tree: Building representations of both individual and collective dynamics with trans…☆14Updated 2 years ago
- Code for ECML/PKDD paper: "LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport"☆16Updated 3 years ago
- ☆17Updated 2 years ago
- code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"☆13Updated 4 years ago
- Official implementation of "Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks", NeurIPS 2021.☆31Updated 3 weeks ago
- ☆22Updated 5 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆44Updated this week
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 4 years ago
- Code of the paper "Beyond calibration: estimating the grouping loss of modern neural networks" published in ICLR 2023.☆12Updated last year
- PyTorch implementations of the beta divergence loss.☆10Updated 3 years ago
- Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts".…☆16Updated last year
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆44Updated 2 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Updated 5 years ago
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆19Updated last year
- ☆13Updated 4 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆23Updated 2 years ago
- Canonical Correlation Analysis, Variational CCA☆24Updated 6 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data☆26Updated 3 years ago
- ☆17Updated 6 years ago
- Code for the paper "Neural Architecture Search of SPD Manifold Networks" IJCAI 2021☆13Updated 3 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆21Updated 3 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- CO-Optimal Transport☆42Updated 4 years ago
- Worked examples☆15Updated 6 years ago
- PyTorch implementation of the Covariate-GPLVM☆26Updated 5 years ago