jik0730 / Deep-Mixed-Effect-Model-using-Gaussian-ProcessesLinks
Implementations for "Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare" published on AAAI 2020 (to appear)
☆13Updated 5 years ago
Alternatives and similar repositories for Deep-Mixed-Effect-Model-using-Gaussian-Processes
Users that are interested in Deep-Mixed-Effect-Model-using-Gaussian-Processes are comparing it to the libraries listed below
Sorting:
- Repository for Deep Structural Causal Models for Tractable Counterfactual Inference☆287Updated 2 years ago
- Python scripts for our model described in http://proceedings.mlr.press/v130/ramchandran21b.html☆15Updated 4 years ago
- Implementation of the PersLay layer for persistence diagrams☆84Updated last year
- Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)☆89Updated 7 months ago
- ☆31Updated 2 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆59Updated last year
- ☆46Updated 4 years ago
- This repository contains the code used for Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care …☆79Updated 4 months ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆137Updated 6 years ago
- VAEs and nonlinear ICA: a unifying framework☆37Updated 5 years ago
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆48Updated 3 years ago
- The essence of my research, distilled for reusability. Enjoy 🥃!☆69Updated last year
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆76Updated last year
- Neural Additive Models (Google Research)☆71Updated 3 years ago
- ☆91Updated 2 years ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆150Updated 3 years ago
- Gaussian Process Prior Variational Autoencoder☆84Updated 6 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- Code for JMLR paper ``Learning Representations of Persistence Barcodes``☆24Updated 5 years ago
- A Bayesian Neural Network with a horseshoe prior for improved interpretability☆57Updated 2 years ago
- Statistics on the space of asymmetric networks via Gromov-Wasserstein distance☆13Updated 5 years ago
- Implementation for Stankevičiūtė et al. "Population graph GNNs for brain age prediction". GRL+ Workshop, ICML 2020.☆40Updated 2 months ago
- Multi-task regression in Python☆25Updated 4 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆41Updated last year
- Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021☆29Updated 2 years ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- sumanabasu / Early-Prediction-of-Alzheimer-s-Disease-Progression-Using-Variational-Autoencoders-MICCAI-2019Predicts progression of Alzheimer's from MRI☆14Updated 3 years ago
- Alignment between clustered datasets via hierarchical Wasserstein distance☆38Updated last year