smeznar / HVAELinks
An approach for embedding hierarhical structures into a continuous vector space using variational autoencoders.
☆28Updated this week
Alternatives and similar repositories for HVAE
Users that are interested in HVAE are comparing it to the libraries listed below
Sorting:
- Bayesian algorithm execution (BAX)☆55Updated 4 years ago
- ☆17Updated last year
- Dynamic causal Bayesian optimisation☆40Updated 2 years ago
- Public dataset repository for the Causal Chamber Project☆53Updated last month
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- Library for Bayesian Quadrature☆32Updated 6 years ago
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"☆18Updated 6 months ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆22Updated last year
- Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Works…☆21Updated 3 years ago
- Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion …☆51Updated 2 months ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 3 years ago
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆53Updated 3 weeks ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆23Updated 5 years ago
- ☆29Updated 3 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆75Updated 3 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆121Updated 4 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆64Updated last year
- Pre-trained Gaussian processes for Bayesian optimization☆97Updated 7 months ago
- ☆15Updated 3 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆68Updated 10 months ago
- Bayesian optimization with conformal coverage guarantees☆29Updated 3 years ago
- Official code for UnICORNN (ICML 2021)☆28Updated 4 years ago
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆39Updated 3 years ago
- SR based on LLMs.☆124Updated 3 years ago
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆37Updated last year
- Random feature latent variable models in Python☆23Updated 2 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆43Updated 3 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 3 years ago