SidRama / Longitudinal-VAE
Python scripts for our model described in http://proceedings.mlr.press/v130/ramchandran21b.html
☆10Updated 3 years ago
Alternatives and similar repositories for Longitudinal-VAE:
Users that are interested in Longitudinal-VAE are comparing it to the libraries listed below
- Gaussian Process Prior Variational Autoencoder☆83Updated 6 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆37Updated last year
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- VAEs and nonlinear ICA: a unifying framework☆34Updated 4 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 2 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆86Updated 3 years ago
- ☆19Updated 4 years ago
- ☆38Updated 4 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆57Updated 3 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆43Updated last year
- ☆90Updated 2 years ago
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆11Updated last year
- Code for "Causal autoregressive flows" - AISTATS, 2021☆44Updated 3 years ago
- ☆150Updated 2 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated 9 months ago
- ☆13Updated 4 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆82Updated 4 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆43Updated 3 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- ICML 2017. Kernel-based adaptive linear-time independence test.☆16Updated 3 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Code for Sliced Gromov-Wasserstein☆67Updated 5 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- ☆24Updated last year
- ☆36Updated 2 years ago
- Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.☆31Updated 3 years ago
- Implementations for "Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare" published o…☆11Updated 5 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago