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Paper

Transformers Can Learn Posterior Predictive Distributions In-Context

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AI summary

arXiv:2605. 26713v1 Announce Type: new Abstract: Prior-data fitted networks (PFNs) have recently emerged as a powerful approach for Bayesian prediction tasks, approximating the posterior predictive distribution (PPD) through in-context learning.