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 oral)
Python 11
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Showing 10 of 21 repositories
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- 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)
- node-BNN-covariate-shift Public
Repository for the paper Tackling covariate shift with node-based Bayesian neural networks (ICML 2022 oral)
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- LFI-in-SSMs-with-UD Public
Code from the Likelihood-Free Inference in State-Space Models with Unknown Dynamics paper
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