Aalto Probabilistic Machine Learning group
We develop new methods for probabilistic modeling, Bayesian inference and machine learning.
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spatiotemporal-graph-kernels
spatiotemporal-graph-kernels PublicThe official implementation of Non-separable Spatio-temporal Graph Kernels via SPDEs.
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node-BNN-covariate-shift
node-BNN-covariate-shift PublicRepository for the paper Tackling covariate shift with node-based Bayesian neural networks (ICML 2022)
Repositories
Showing 10 of 21 repositories
- Preference-Learning-with-a-human-like-model-of-choice Public
Code for Preference Learning of Latent Decision Utilities with a Human-like Model of Preferential Choice (NeurIPS 2024)
AaltoPML/Preference-Learning-with-a-human-like-model-of-choice’s past year of commit activity - node-BNN-covariate-shift Public
Repository for the paper Tackling covariate shift with node-based Bayesian neural networks (ICML 2022)
AaltoPML/node-BNN-covariate-shift’s past year of commit activity - VAI-Lab Public
Modular pipeline for design assistance. PYPi Package: https://pypi.org/project/vai-lab
AaltoPML/VAI-Lab’s past year of commit activity - LFI-in-SSMs-with-UD Public
Code from the Likelihood-Free Inference in State-Space Models with Unknown Dynamics paper
AaltoPML/LFI-in-SSMs-with-UD’s past year of commit activity