Distributed Inference

Compositional Sculpting of Iterative Generative Processes
We propose a framework to compose iterative generative processes: GFlowNets and diffusion models.
Timur Garipov, Sebastiaan De Peuter, Ge Yang, Vikas Garg, Samuel Kaski, Tommi Jaakkola
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Parallel MCMC Without Embarrassing Failures
Embarrassingly parallel Markov Chain Monte Carlo (MCMC) exploits parallel computing to scale Bayesian inference to large datasets by …
Daniel A. De Souza, Diego Mesquita, Samuel Kaski, Luigi Acerbi
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