Aalto Probabilistic Machine Learning group

Rethinking-pooling-in-GNNs

PINT

PPBO

Projective Preferential Bayesian Optimization

spatiotemporal-graph-kernels

The official implementation of Non-separable Spatio-temporal Graph Kernels via SPDEs.

VAI-Lab

Modular pipeline for design assistance. PYPi Package: https://pypi.org/project/vai-lab

machine-teaching-of-active-sequential-learners

Machine Teaching of Active Sequential Learners

node-BNN-covariate-shift

Repository for the paper Tackling covariate shift with node-based Bayesian neural networks (ICML 2022)

human-in-the-loop-predictive-maintenance

BOSMOS

Code for replicating the experiments in the "Online simulator-based experimental design for cognitive model selection" paper

knowledge-elicitation-for-precision-medicine

Computational methods for Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge

atom-team

The Artificial agent with Theory of Mind FCAI team.

Federated-SGLD

LFI-in-SSMs-with-UD

Code from the Likelihood-Free Inference in State-Space Models with Unknown Dynamics paper

tsgm

Generative modeling of synthetic time series data

Zero-Shot-Assistance-in-Sequential-Decision-Problems

LFI-with-DGPs

Code from the Likelihood-Free Inference with Deep Gaussian Processes paper

ai_assistance_tutorial

Jupyter notebook tutorial for AI assistance

FoRDE

Repository for the paper Input-gradient space particle inference for neural network ensembles (ICLR 2024)

informative_prior

Code for "Informative Bayesian Neural Network Priors for Weak Signals"

rMFBO

Repository associated with the article "Multi-Fidelity Bayesian Optimization with Unreliable Information Sources"