USC-Melady / KDD19-CoSTCo
☆21Updated last year
Alternatives and similar repositories for KDD19-CoSTCo:
Users that are interested in KDD19-CoSTCo are comparing it to the libraries listed below
- Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables☆13Updated 7 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆103Updated 5 years ago
- Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'☆38Updated 6 years ago
- Clean repo for tensor-train RNN implemented in TensorFlow☆68Updated 5 years ago
- learning point processes by means of optimal transport and wasserstein distance☆54Updated 6 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Discovering directional relations via minimum predictive information regularization☆23Updated 5 years ago
- Official PyTorch implementation of "Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics" (https://openreview.net/forum…☆50Updated 5 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 7 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆53Updated 4 months ago
- Time-varying Autoregression with Low Rank Tensors☆15Updated 3 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- MisGAN: Learning from Incomplete Data with GANs☆80Updated last year
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆81Updated 4 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- Distributed Feedback-Looped Networks☆10Updated 5 years ago
- ☆42Updated 6 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- ☆22Updated 9 years ago
- Code for Graphite iterative graph generation☆59Updated 5 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆81Updated 8 months ago
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year
- This is all the codes used in "Large Scale Online Kernel Learning"☆11Updated 7 years ago
- ☆32Updated 6 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- ☆40Updated 5 years ago
- ☆25Updated 6 years ago
- code release for the NIPS 2016 paper☆26Updated 8 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆48Updated 6 years ago