1 citations · 1 across the 2 of their papers we have counts for
3 papers
Inverting Foundation Models of Brain Function with Simulation-Based Inference
Niels Bracher, Xavier Intes, Stefan T. Radev
Foundation models of brain activity promise a new frontier for in silico neuroscience by emulating neural responses to complex stimuli across tasks and modalities. A natural next s…
BayesFlow 2: Multi-Backend Amortized Bayesian Inference in Python
Lars Kühmichel, Jerry M. Huang, Valentin Pratz +11
Modern Bayesian inference involves a mixture of computational methods for estimating, validating, and drawing conclusions from probabilistic models as part of principled workflows.…
Amortized In-Context Bayesian Posterior Estimation
Sarthak Mittal, Niels Leif Bracher, Guillaume Lajoie +2
Bayesian inference provides a natural way of incorporating prior beliefs and assigning a probability measure to the space of hypotheses. Current solutions rely on iterative routine…