Rethinking Sharpness-Aware Minimization as Variational Inference. - Szilvia Ujváry; Zsigmond Telek; Anna Kerekes; Anna Mészáros; Ferenc Huszár (CoRR, 2022)

Estimating optimal PAC-Bayes bounds with Hamiltonian Monte Carlo. - Szilvia Ujváry; Gergely Flamich; Vincent Fortuin; José Miguel Hernández-Lobato (CoRR, 2023)

Position: Understanding LLMs Requires More Than Statistical Generalization. - Patrik Reizinger; Szilvia Ujváry; Anna Mészáros; Anna Kerekes; Wieland Brendel; Ferenc Huszár (ICML, 2024)

Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts. - Anna Mészáros; Szilvia Ujváry; Wieland Brendel; Patrik Reizinger; Ferenc Huszar (NeurIPS, 2024)

Understanding LLMs Requires More Than Statistical Generalization. - Patrik Reizinger; Szilvia Ujváry; Anna Mészáros; Anna Kerekes; Wieland Brendel; Ferenc Huszár (CoRR, 2024)

Rule Extrapolation in Language Models: A Study of Compositional Generalization on OOD Prompts. - Anna Mészáros; Szilvia Ujváry; Wieland Brendel; Patrik Reizinger; Ferenc Huszár (CoRR, 2024)