3 papers
stat.ML2022
Rethinking Sharpness-Aware Minimization as Variational Inference
Szilvia Ujváry, Zsigmond Telek, Anna Kerekes +2
Sharpness-aware minimization (SAM) aims to improve the generalisation of gradient-based learning by seeking out flat minima. In this work, we establish connections between SAM and…
stat.ML2021
Depth Without the Magic: Inductive Bias of Natural Gradient Descent
Anna Kerekes, Anna Mészáros, Ferenc Huszár
In gradient descent, changing how we parametrize the model can lead to drastically different optimization trajectories, giving rise to a surprising range of meaningful inductive bi…
cs.RO2021
ILoSA: Interactive Learning of Stiffness and Attractors
Giovanni Franzese, Anna Mészáros, Luka Peternel +1
Teaching robots how to apply forces according to our preferences is still an open challenge that has to be tackled from multiple engineering perspectives. This paper studies how to…