HanbaekLyu / ONMF_ONTF_NDLLinks
Online Matrix/Tensor Factorization and applications to Network Dictionary Learning and images
☆15Updated 3 years ago
Alternatives and similar repositories for ONMF_ONTF_NDL
Users that are interested in ONMF_ONTF_NDL are comparing it to the libraries listed below
Sorting:
- Code for the paper "XAI Beyond Classification: Interpretable Neural Clustering" (JMLR 2022)☆13Updated 3 years ago
- Grassmannian Optimization for Tensor Completion and Tracking in the t-SVD Algebra☆11Updated 2 months ago
- Graph signal processing tutorial, presented at the GraphSiP summer school.☆78Updated 6 years ago
- A Library for Minimax Risk Classifiers☆31Updated 3 weeks ago
- Ultrahyperbolic Representation Learning☆13Updated 5 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)☆12Updated 3 years ago
- GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices☆18Updated 4 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆29Updated 6 years ago
- ☆18Updated 6 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 6 years ago
- Official code for the paper: Invertible Neural Network for Graph Prediction☆10Updated 2 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆36Updated last year
- SSNMF models and multiplicative update methods.☆11Updated 3 months ago
- Code repository for the AAAI 2022 paper "Do Feature Attribution Methods Correctly Attribute Features?"☆21Updated 3 years ago
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆20Updated 4 years ago
- TensorFlow implementation of the Dissimilarity Mixture Autoencoder: https://arxiv.org/abs/2006.08177☆13Updated 3 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 3 years ago
- ☆13Updated 5 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆27Updated 3 years ago
- ☆12Updated 2 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Code for nonconvex graph trend filtering☆10Updated 3 years ago
- Random Mesh Projectors for Inverse Problems☆24Updated 4 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆41Updated last year
- FGCS 2021: Mutual teaching for graph convolutional networks☆15Updated 5 years ago
- SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks☆14Updated 2 years ago
- Python implementation of smooth optimal transport.☆61Updated 4 years ago
- Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)☆50Updated 3 years ago