wangboyu-langya / Hierarchical-Bayesian-Neural-NetworkLinks
A hierarchical Bayesian neural network optimized with variational inference.
☆11Updated 6 years ago
Alternatives and similar repositories for Hierarchical-Bayesian-Neural-Network
Users that are interested in Hierarchical-Bayesian-Neural-Network are comparing it to the libraries listed below
Sorting:
- Dynamic Attention Networks For Time Series State Forecasting in Cyber Physical Systems☆10Updated 5 years ago
- Wasserstein regularization for sparse multi-task regression☆15Updated 4 years ago
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"☆18Updated 2 years ago
- Discovering directional relations via minimum predictive information regularization☆24Updated 5 years ago
- Software relating to relational empirical risk minimization☆17Updated 3 years ago
- Robust bayesian online changepoint detection with model selection☆23Updated 6 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 6 years ago
- Code in python with tensorflow of the method described in the paper Unsupervised Interpretable Pattern Discovery in Time Series Using Aut…☆21Updated 6 years ago
- PyTorch Implementation of Hierarchical Multiscale Recurrent Neural Networks☆15Updated 6 years ago
- Robust PCA in Python☆36Updated 12 years ago
- Reproduction work of "Neural Relational Inference for Interacting Systems" in Chainer☆33Updated 6 years ago
- Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)☆11Updated 5 years ago
- Streaming, Distributed, Asynchronous Bayesian Nonparametric Inference☆12Updated 9 years ago
- State-Regularized Recurrent Neural Networks☆11Updated 5 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks☆12Updated 5 years ago
- Code for "Boosted Generative Models", AAAI 2018.☆20Updated 7 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
- A novel general non-stationary point process model based on neural networks.☆10Updated 2 years ago
- Forecasting library in python☆13Updated 5 years ago
- Python module for computing Symbolic Mutual Information and symbolic Transfer of Entropy☆14Updated 6 years ago
- ☆12Updated 5 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆19Updated 5 years ago
- Uncertainty Autoencoders, AISTATS 2019☆55Updated 6 years ago
- ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters☆15Updated 4 years ago
- Co-regularized Non-negative Matrix Factorization☆18Updated 8 years ago
- A Tensorflow implementation of the paper https://arxiv.org/pdf/1803.07710.pdf☆14Updated 5 years ago
- Training quantile models☆42Updated 6 months ago
- ☆11Updated 8 years ago
- Pytorch implementation of Adaptative Dropout a.ka Standout.☆12Updated 7 years ago