[NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)
☆25Feb 4, 2024Updated 2 years ago
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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- (AAAI23) Riemannian Local Mechanism for SPD Neural Networks☆11Mar 11, 2024Updated 2 years ago
- S.-S. Young, Chia-Hsiang Lin, et al., “Unsupervised abundance matrix reconstruction transformer guided fractional attention mechanism for…☆20Oct 26, 2024Updated last year
- ManifoldNet Paper Implementation for SPD(n)☆11Nov 10, 2021Updated 4 years ago
- GitHub repository for "Building Deep Networks on Grassmann Manifolds", AAAI 2018.☆26Jun 5, 2021Updated 5 years ago
- ☆15Nov 7, 2025Updated 11 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- [Pattern Recognition, 2020] Covariance Descriptors on a Gaussian Manifold and their Application to Image Set Classification☆13May 28, 2022Updated 4 years ago
- This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017☆40Oct 12, 2018Updated 8 years ago
- ☆23Jan 31, 2025Updated last year
- Ultrahyperbolic Representation Learning☆13Jul 5, 2020Updated 6 years ago
- Repository containing the code used for running the experiments of the Poincare ResNet paper☆29Aug 25, 2023Updated 3 years ago
- This is a matlab implementation of our article, titled "DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning", which has …☆14Nov 2, 2022Updated 3 years ago
- Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups☆55Jul 20, 2022Updated 4 years ago
- This repo contains papers, books, tutorials and resources on Riemannian deep learning.☆83Mar 10, 2026Updated 7 months ago
- (ICLR24) A Lie Group Approach to Riemannian Batch Normalization.☆22Mar 2, 2025Updated last year
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- A collection of Topology Methods in Deep Learning☆18Jun 19, 2020Updated 6 years ago
- Code for paper Fully Hyperbolic Neural Networks☆86Dec 29, 2022Updated 3 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆14Aug 20, 2024Updated 2 years ago
- ☆13May 25, 2023Updated 3 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆60Sep 28, 2021Updated 5 years ago
- (CVPR24) Riemannian Multinomial Logistics Regression for SPD Neural Networks☆15Feb 5, 2025Updated last year
- ICLR 2024 | Fully Hyperbolic Convolutional Neural Networks for Computer Vision | Official Implementation☆81Feb 14, 2024Updated 2 years ago
- Code for our paper: TransRAD: Retentive Vision Transformer for Enhanced Radar Object Detection☆26Sep 24, 2025Updated last year
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆24Sep 22, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆81Aug 30, 2023Updated 3 years ago
- This is the code for the paper Statistical Recurrent Models on Manifold valued Data☆17May 16, 2021Updated 5 years ago
- Pytorch implementation of Stable Vector Fields on Lie Groups through Diffeomorphism☆22Nov 28, 2024Updated last year
- ☆19Sep 16, 2021Updated 5 years ago
- ☆17Mar 16, 2022Updated 4 years ago
- Differentiable and numerically stable implementation of the matrix exponential☆32Oct 20, 2020Updated 5 years ago
- Learned Low Rank Prior: The easiest implementation of the deep unrolling/unfolding network for MRI reconstruction.☆11Nov 15, 2022Updated 3 years ago
- Domain Adaptation benchmark☆29Dec 20, 2024Updated last year
- ☆18Sep 18, 2020Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Reducing the Dimensionality of Data with Neural Network☆16Apr 27, 2016Updated 10 years ago
- (ICML 2025) Hybrid Batch Normalisation: Resolving the Dilemma of Batch Normalisation in Federated Learning☆10Jun 19, 2025Updated last year
- a simple demo for paper 'Airport Detection in Large-Scale SAR Images via Line Segment Grouping and Saliency Analysis'☆13Jul 6, 2024Updated 2 years ago
- SULoRA: Danfeng Hong, Xiaoxiang Zhu. Subspace Unmixing with Low-Rank Attribute Embedding for Hyperspectral Data Analysis, IEEE JSTSP, 201…☆12Sep 10, 2020Updated 6 years ago
- the implementation of TMNN. The paper is Dynamic Cardiac MRI Reconstruction Using Combined Tensor Nuclear Norm and Casorati Matrix Nuclea…☆11May 31, 2022Updated 4 years ago
- Official implementation for the CVPR 2024 paper: HuProSO3: Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Hu…☆17Mar 31, 2025Updated last year
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆65Oct 12, 2022Updated 4 years ago