CUAI / Riemannian-Residual-Neural-NetworksLinks
[NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)
☆22Updated last year
Alternatives and similar repositories for Riemannian-Residual-Neural-Networks
Users that are interested in Riemannian-Residual-Neural-Networks are comparing it to the libraries listed below
Sorting:
- Implementation for the paper 'Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport' (ICL…☆18Updated 10 months ago
- Mutual information estimators and benchmark☆54Updated 2 months ago
- ☆11Updated 2 years ago
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆59Updated 4 years ago
- ☆25Updated last year
- Code for the paper "Neural Architecture Search of SPD Manifold Networks" IJCAI 2021☆14Updated 3 years ago
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆11Updated last year
- The essence of my research, distilled for reusability. Enjoy 🥃!☆71Updated last year
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆66Updated 3 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- ☆42Updated 5 years ago
- Domain Adaptation benchmark☆25Updated 11 months ago
- This code implements sparse coding in PyTorch with GPU support.☆30Updated 4 years ago
- Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'☆25Updated 2 years ago
- Official repository for Cell Attention Networks☆14Updated last year
- PyTorch implementations of the beta divergence loss.☆10Updated 3 years ago
- Algorithms for computations on random manifolds made easier☆94Updated last year
- Official implementation of "Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks", NeurIPS 2021.☆32Updated 7 months ago
- Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts".…☆17Updated 2 years ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆39Updated last year
- Code release for ICLR 2021 paper "Generalised Multimodal ELBO"☆41Updated 3 years ago
- Code for the intrinsic dimensionality estimate of data representations☆86Updated 5 years ago
- Distributional Sliced-Wasserstein distance code☆50Updated last year
- The Official PyTorch Implementation of "Poisson Variational Autoencoder" (NeurIPS 2024 Spotlight Paper)☆20Updated 6 months ago
- ☆37Updated 5 years ago
- This is an official repository for "Learning topology-preserving data representations" presented at ICLR 2023 conference.☆34Updated 2 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆23Updated last year
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆151Updated 3 years ago