CUAI / Differentiable-Frechet-MeanLinks
[ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
☆58Updated 3 years ago
Alternatives and similar repositories for Differentiable-Frechet-Mean
Users that are interested in Differentiable-Frechet-Mean are comparing it to the libraries listed below
Sorting:
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆65Updated 4 years ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆79Updated 2 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆80Updated 3 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆118Updated 4 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- ☆30Updated 4 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 5 years ago
- Python implementation of smooth optimal transport.☆60Updated 4 years ago
- ☆33Updated 6 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆56Updated 6 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆29Updated 6 years ago
- Hyperbolic Neural Networks, pytorch☆87Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- implements optimal transport algorithms in pytorch☆100Updated 3 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- ☆123Updated 2 years ago
- NeurIPS 2021, Code for Measuring Generalization with Optimal Transport☆28Updated 3 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆68Updated 4 years ago
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)☆72Updated 7 years ago
- ☆76Updated 7 years ago
- Closed form Entropic OT for balanced and unbalanced Gaussians☆17Updated 3 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- A Python implementation of Monge optimal transportation☆49Updated last year
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆128Updated last year
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 5 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- ☆64Updated last year
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆20Updated 5 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆120Updated 2 years ago