Fritz Günther

Amortized spike-and-slab inference for linear models with interactions achieves state-of-the-art variable selection accuracy with a single forward pass, eliminating costly per-dataset MCMC.

Forget English dominance: Romance languages surprisingly outperform it in multilingual LLM comprehension, revealing biases beyond just resource availability.