← Back to papers
2025 ICML ICML 2025

Can Transformers Learn Full Bayesian Inference in Context?

❓ The Questioner

Authors

Arik Reuter , Tim G. J. Rudner , Vincent Fortuin , David Rügamer
Download PDF

Related papers

Scaling Sparse Feature Circuits For Studying In-Context Learning 2025
Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems 2025
SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics 2025
Batch List-Decodable Linear Regression via Higher Moments 2025
GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models 2025