plazadeloslagartos / eigentorchLinks
Implements PyTorch model which updates SPD weights on Riemannian Manifold. Based on Huang, Z., & Van Gool, L. (2016). A Riemannian Network for SPD Matrix Learning, 2036–2042. https://doi.org/10.1109/CVPR.2014.132
☆12Updated 6 years ago
Alternatives and similar repositories for eigentorch
Users that are interested in eigentorch are comparing it to the libraries listed below
Sorting:
- resources related to papers☆13Updated 3 weeks ago
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆22Updated 2 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆14Updated last year
- Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data (Pytorch)☆19Updated 3 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆49Updated 9 months ago
- This is the code related to the article 'Intrinsic persistent homology via density-based metric learning'☆10Updated 2 years ago
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆66Updated 3 years ago
- Implementation for Stankevičiūtė et al. "Population graph GNNs for brain age prediction". GRL+ Workshop, ICML 2020.☆41Updated 4 months ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts".…☆19Updated 2 years ago
- Ultrahyperbolic Representation Learning☆13Updated 5 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices☆19Updated 4 years ago
- Optimisation on Diffeomorphisms☆12Updated 11 months ago
- PyTorch Implementation - Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction☆31Updated 4 years ago
- This repo contains code for GeoMLE intrinsic dimension estimation algorithm☆20Updated 5 years ago
- L1-regularized least squares with PyTorch☆72Updated 2 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Updated 5 years ago
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆23Updated 3 years ago
- CRsAE (constrained recurrent sparse autoencoder)☆15Updated 3 months ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆53Updated 4 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆29Updated 6 years ago
- CO-Optimal Transport☆42Updated 5 years ago
- Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence☆18Updated 3 years ago
- This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017☆38Updated 7 years ago
- Fork of the E2CNN library that adds support for equivariant partial differential operators☆17Updated 3 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆12Updated 3 years ago
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆39Updated 3 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 6 years ago
- repo for "Decision explanation and feature importance for invertible networks"☆14Updated 6 years ago