roosephu / deep_matrix_factorizationLinks
Code for Implicit Regularization in Deep Matrix Factorization.
☆39Updated last year
Alternatives and similar repositories for deep_matrix_factorization
Users that are interested in deep_matrix_factorization are comparing it to the libraries listed below
Sorting:
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆29Updated 6 years ago
- A Python implementation of Monge optimal transportation☆49Updated 2 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 7 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 6 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- Implementation for Denoising Graph Neural Networks☆16Updated 6 years ago
- Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)☆20Updated 7 years ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆81Updated 2 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 5 years ago
- The code for Differentiable Linearized ADMM (ICML 2019)☆36Updated 6 years ago
- Code for our NeurIPS 2018 paper titled "Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch"☆25Updated 2 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆75Updated 9 years ago
- Nonlinear SVGD for Learning Diversified Mixture Models☆13Updated 7 years ago
- Implementation of LDMnet in pytorch☆22Updated 7 years ago
- Uncertainty Autoencoders, AISTATS 2019☆56Updated 6 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆58Updated 6 years ago
- Code for NIPS 2017 spotlight paper: "Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration" by Jason Alt…☆31Updated 8 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆66Updated 2 years ago
- A Tensorflow implementation Mutual Information estimation methods☆48Updated 2 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Updated 5 years ago
- Grassmannian Optimization for Tensor Completion and Tracking in the t-SVD Algebra☆12Updated 4 months ago
- Experiments with Neural ODEs and Adversarial Attacks☆44Updated 7 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆59Updated 4 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Updated 5 years ago
- Least Squares Regression for subspace clustering☆10Updated 7 years ago
- Co-regularized Non-negative Matrix Factorization☆18Updated 8 years ago
- tensorflow implementation of the Wasserstein (aka optimal transport) distance☆74Updated 4 years ago
- Python implementation of smooth optimal transport.☆61Updated 4 years ago
- Joint distribution optimal transportation for domain adaptation☆105Updated 8 years ago
- code for paper "Graph Structure of Neural Networks"☆156Updated 4 years ago