450 citations · 579 across the 4 of their papers we have counts for
4 papers
Tied-Augment: Controlling Representation Similarity Improves Data Augmentation
Emirhan Kurtulus, Zichao Li, Yann Dauphin +1
Data augmentation methods have played an important role in the recent advance of deep learning models, and have become an indispensable component of state-of-the-art models in semi…
Accurate Surface and Finite Temperature Bulk Properties of Lithium Metal at Large Scales using Machine Learning Interaction Potentials
Mgcini Keith Phuthi, Archie Mingze Yao, Simon Batzner +4
The properties of lithium metal are key parameters in the design of lithium ion and lithium metal batteries. They are difficult to probe experimentally due to the high reactivity a…
The Relationship Between Local Structure and Relaxation in Out-of-Equilibrium Glassy Systems
Samuel S. Schoenholz, Ekin D. Cubuk, Efthimios Kaxiras +1
The dynamical glass transition is typically taken to be the temperature at which a glassy liquid is no longer able to equilibrate on experimental timescales. Consequently, the phys…
Identifying structural flow defects in disordered solids using machine learning methods
Ekin D. Cubuk, Samuel S. Schoenholz, Jennifer M. Rieser +5
We use machine learning methods on local structure to identify flow defects - or regions susceptible to rearrangement - in jammed and glassy systems. We apply this method successfu…