rheasukthanker / SPDNetNAS
Code for the paper "Neural Architecture Search of SPD Manifold Networks" IJCAI 2021
☆13Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for SPDNetNAS
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆50Updated 3 years ago
- Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts".…☆16Updated last year
- This is a matlab implementation of our article, named "SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Ima…☆15Updated 3 years ago
- This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017☆34Updated 6 years ago
- Implementation of Deep SPDNet in pytorch☆58Updated last year
- Four commonly used operations on the symmetric positive definite manifold☆24Updated 2 years ago
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆15Updated 9 months ago
- code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"☆13Updated 4 years ago
- This is a matlab implementation of our article, titled "DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning", which has …☆12Updated 2 years ago
- PyTorch implementation of SNGP as found in https://arxiv.org/pdf/2006.10108.pdf☆14Updated last month
- Benchmarks for Out-of-Distribution Generalization in Time Series Tasks☆65Updated 2 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆27Updated last year
- Code release for ICLR 2021 paper "Generalised Multimodal ELBO"☆34Updated last year
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆19Updated 2 years ago
- PyTorch Implementation - Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction☆32Updated 2 years ago
- Welcome to Uncertainty Metrics! The goal of this library is to provide an easy-to-use interface for both measuring uncertainty across Goo…☆21Updated 3 years ago
- Mutual Information in Pytorch☆107Updated last year
- End-to-end Deep Linear Discriminant Analysis in Pytorch.☆17Updated 3 years ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆31Updated 2 years ago
- Project for the Large Scale Optimization course at Skoltech☆22Updated 6 years ago
- Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence☆18Updated last year
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆62Updated 2 years ago
- [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup☆26Updated 6 months ago
- PyTorch implementation of "Seeing the forest and the tree: Building representations of both individual and collective dynamics with trans…☆13Updated last year
- CRsAE (constrained recurrent sparse autoencoder)☆14Updated last year
- ☆35Updated 3 years ago
- ☆13Updated 3 years ago
- PyTorch implementations of the beta divergence loss.☆9Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆128Updated last year
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆42Updated 3 years ago