7 citations · 10 across the 5 of their papers we have counts for
3 papers · 1 filter
SPUS: A Lightweight and Parameter-Efficient Foundation Model for PDEs
Abu Bucker Siddik, Diane Oyen, Alexander Most +2
We introduce Small PDE U-Net Solver (SPUS), a compact and efficient foundation model (FM) designed as a unified neural operator for solving a wide range of partial differential equ…
DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing Understanding
Kehinde Ajayi, Xin Wei, Martin Gryder +5
Recent advances in computer vision (CV) and natural language processing have been driven by exploiting big data on practical applications. However, these research fields are still…
On visual self-supervision and its effect on model robustness
Michal Kucer, Diane Oyen, Garrett Kenyon
Recent self-supervision methods have found success in learning feature representations that could rival ones from full supervision, and have been shown to be beneficial to the mode…