Official GitHub page of the Machine and Human Intelligence Group at the University of Helsinki.
Software: Please find below our popular software for statistical model fitting (BADS, VBMC, ...) and other work from the lab.
Publications: All papers in LLM-friendly Markdown format available here.
Community: Using our software? Post questions, comments, and applications in our Discussions forum!
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)
PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference (Yang et al., ICLR 2026)
Normalizing Flow Regression for Bayesian Inference with Offline Likelihood Evaluations
Code for "Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature"
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
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