Aalto Probabilistic Machine Learning group
We develop new methods for probabilistic modeling, Bayesian inference and machine learning.
Finland
Pinned Repositories
BOSMOS
Code for replicating the experiments in the "Online simulator-based experimental design for cognitive model selection" paper
FoRDE
Repository for the paper Input-gradient space particle inference for neural network ensembles (ICLR 2024)
human-in-the-loop-predictive-maintenance
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)
PINT
PPBO
Projective Preferential Bayesian Optimization
Rethinking-pooling-in-GNNs
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
Aalto Probabilistic Machine Learning group's Repositories
AaltoPML/Rethinking-pooling-in-GNNs
AaltoPML/PPBO
Projective Preferential Bayesian Optimization
AaltoPML/PINT
AaltoPML/spatiotemporal-graph-kernels
The official implementation of Non-separable Spatio-temporal Graph Kernels via SPDEs.
AaltoPML/VAI-Lab
Modular pipeline for design assistance. PYPi Package: https://pypi.org/project/vai-lab
AaltoPML/human-in-the-loop-predictive-maintenance
AaltoPML/node-BNN-covariate-shift
Repository for the paper Tackling covariate shift with node-based Bayesian neural networks (ICML 2022)
AaltoPML/machine-teaching-of-active-sequential-learners
Machine Teaching of Active Sequential Learners
AaltoPML/BOSMOS
Code for replicating the experiments in the "Online simulator-based experimental design for cognitive model selection" paper
AaltoPML/FoRDE
Repository for the paper Input-gradient space particle inference for neural network ensembles (ICLR 2024)
AaltoPML/knowledge-elicitation-for-precision-medicine
Computational methods for Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge
AaltoPML/atom-team
The Artificial agent with Theory of Mind FCAI team.
AaltoPML/Federated-SGLD
AaltoPML/LFI-in-SSMs-with-UD
Code from the Likelihood-Free Inference in State-Space Models with Unknown Dynamics paper
AaltoPML/tsgm
Generative modeling of synthetic time series data
AaltoPML/Zero-Shot-Assistance-in-Sequential-Decision-Problems
AaltoPML/LFI-with-DGPs
Code from the Likelihood-Free Inference with Deep Gaussian Processes paper
AaltoPML/ai_assistance_tutorial
Jupyter notebook tutorial for AI assistance
AaltoPML/informative_prior
Code for "Informative Bayesian Neural Network Priors for Weak Signals"
AaltoPML/rMFBO
Repository associated with the article "Multi-Fidelity Bayesian Optimization with Unreliable Information Sources"