danielegrattarola / cdt-ccm-aaeLinks
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)
☆11Updated 5 years ago
Alternatives and similar repositories for cdt-ccm-aae
Users that are interested in cdt-ccm-aae are comparing it to the libraries listed below
Sorting:
- Wasserstein regularization for sparse multi-task regression☆15Updated 4 years ago
- Matlab implementation of TCK☆12Updated 5 years ago
- Algorithms for learning network structure from effective resistances and other random-walk-based similarities.☆31Updated 7 years ago
- ☆12Updated 4 years ago
- Robust PCA in Python☆36Updated 12 years ago
- Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)☆12Updated 6 years ago
- RandomWarpingSeries (RWS) is a simple code for generating the vector representation of time-series for time-series classification, cluste…☆21Updated 6 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆20Updated 5 years ago
- Software relating to relational empirical risk minimization☆17Updated 4 years ago
- Reproduction work of "Neural Relational Inference for Interacting Systems" in Chainer☆34Updated 6 years ago
- ☆9Updated 10 years ago
- A Random Matrix Approach to Extreme Learning Machine☆14Updated 7 years ago
- CUDA extension for the SPORCO project☆18Updated 3 years ago
- Ultrahyperbolic Representation Learning☆13Updated 4 years ago
- Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations. ICML-2019.☆16Updated 6 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 8 years ago
- ☆16Updated 5 years ago
- ☆15Updated 7 years ago
- NonNegative Matrix Factorization with Low Rank via the Alternating Direction Method of Multipliers☆9Updated 7 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 5 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆20Updated 7 years ago
- ☆8Updated 8 years ago
- ☆12Updated 5 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 8 years ago
- ☆17Updated 2 years ago
- A repository with work-in-progress code: Schroedinger Eigenmaps for Manifold Learning☆12Updated 7 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 years ago
- Implementation of the Multiscale Laplacian Graph Kernel☆19Updated 5 years ago
- Code for "Boosted Generative Models", AAAI 2018.☆20Updated 7 years ago