clbonet / Spherical_Sliced-WassersteinLinks
Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"
☆13Updated last year
Alternatives and similar repositories for Spherical_Sliced-Wasserstein
Users that are interested in Spherical_Sliced-Wasserstein are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance☆19Updated 5 months ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆41Updated 2 years ago
- ☆13Updated 2 years ago
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆25Updated last year
- NeurIPS23 "Flow Factorized Representation Learning"☆37Updated 9 months ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆37Updated last year
- A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…☆37Updated 2 years ago
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆60Updated 3 years ago
- ☆32Updated 2 years ago
- Implementation of Implicit Graphon Neural Representation☆12Updated last year
- ☆16Updated 2 years ago
- ☆40Updated 5 months ago
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆89Updated last year
- Distributional Sliced-Wasserstein distance code☆50Updated last year
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆63Updated 2 years ago
- Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021☆24Updated 3 years ago
- Code repository for the paper "Group Equivariant Stand-Alone Self Attention For Vision" published at ICLR 2021. https://openreview.net/fo…☆29Updated 4 years ago
- ☆14Updated 2 years ago
- Python package for the ICML 2022 paper "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors".☆10Updated 11 months ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆23Updated 3 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- Information-Theoretic Diffusion: A brand new diffusion model / density estimator based on information theory.☆36Updated last year
- ☆17Updated 2 years ago
- Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"☆46Updated 2 years ago
- Keypoint-Guided Optimal Transport (NeurIPS 2022)☆25Updated last year
- ☆41Updated 5 years ago
- [NeurIPS 2021] Manifold Topology Divergence: a Framework for Comparing Data Manifolds☆15Updated 3 years ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆24Updated last year
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022☆17Updated 2 years ago
- Using pre-trained Diffusion models as priors for inference tasks☆209Updated 2 years ago