House1993 / ELIS
Efficient Learning Interpretable Shapelets for Accurate Time Series Classification, ICDE 2018
☆14Updated 7 years ago
Alternatives and similar repositories for ELIS:
Users that are interested in ELIS are comparing it to the libraries listed below
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆17Updated 6 years ago
- Sampling via Moment Sharing☆11Updated 9 years ago
- Matlab Code for Variational Gaussian Copula Inference☆16Updated 9 years ago
- ☆11Updated 8 years ago
- State space modeling with recurrent neural networks☆44Updated 6 years ago
- Code for a recurrent neural network (RNN) created by unfolding the sequential ISTA (SISTA) algorithm for sequential sparse coding☆14Updated 8 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 6 years ago
- ☆25Updated 6 years ago
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆33Updated 11 years ago
- Variational Inference in Gaussian Mixture Model☆59Updated 4 years ago
- Python implementation of the PR-SSM.☆51Updated 6 years ago
- Asymmetric Transfer Learning with Deep Gaussian Processes☆18Updated 9 years ago
- Deep Gaussian Processes in matlab☆91Updated 3 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Code for An Adaptive Empirical Bayesian Method for Sparse Deep Learning (NeurIPS'19)☆20Updated 3 years ago
- Code for Fast Information-theoretic Bayesian Optimisation☆16Updated 6 years ago
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆58Updated last year
- Variational Dirichlet Process Gaussian Mixture Models☆29Updated 10 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- A tensorflow implementation of VAE training with Renyi divergence☆31Updated 8 years ago
- Variational Gaussian Process State-Space Models☆23Updated 9 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆49Updated 9 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 5 years ago
- Bayesian Neural Network for Time Series Prediction☆15Updated 7 years ago
- ☆47Updated 2 years ago
- Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation☆12Updated 7 years ago