8 citations · 13 across the 6 of their papers we have counts for
3 papers · 1 filter
MATEY: multiscale adaptive foundation models for spatiotemporal physical systems
Pei Zhang, M. Paul Laiu, Matthew Norman +2
Accurate representation of the multiscale features in spatiotemporal physical systems using vision transformer (ViT) architectures requires extremely long, computationally prohibit…
Adiabatic Quantum Support Vector Machines
Prasanna Date, Dong Jun Woun, Kathleen Hamilton +7
Adiabatic quantum computers can solve difficult optimization problems (e.g., the quadratic unconstrained binary optimization problem), and they seem well suited to train machine le…
Transferring a molecular foundation model for polymer property predictions
Pei Zhang, Logan Kearney, Debsindhu Bhowmik +3
Transformer-based large language models have remarkable potential to accelerate design optimization for applications such as drug development and materials discovery. Self-supervis…