akerekes@ethz.ch
My research interests include, but are not limited to Machine Learning Theory, Bayesian Inference and Optimization. My academic foundation lies in the realm of Mathematics, particularly within the field of Statistics. I have previously worked on theoretical description of inductive biases and performance of optimization algorithms.
Expressiveness Remarks for Denoising Diffusion Models and Samplers: Francisco Vargas, Teodora Reu, Anna Kerekes Rethinking Sharpness-Aware Minimization as Variational Inference: Szilvia Ujváry, Zsigmond Telek, Anna Kerekes, Anna Mészáros, Ferenc Huszár Depth Without the Magic: Inductive Bias of Natural Gradient Descent: Anna Kerekes, Anna Mészáros, Ferenc Huszár