3 citations · 3 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2023★ 3 cited
Deep neural operators can serve as accurate surrogates for shape optimization: A case study for airfoils
Khemraj Shukla, Vivek Oommen, Ahmad Peyvan +5
Deep neural operators, such as DeepONets, have changed the paradigm in high-dimensional nonlinear regression from function regression to (differential) operator regression, paving…
cs.LG2022
Momentum Transformer: Closing the Performance Gap Between Self-attention and Its Linearization
Tan Nguyen, Richard G. Baraniuk, Robert M. Kirby +2
Transformers have achieved remarkable success in sequence modeling and beyond but suffer from quadratic computational and memory complexities with respect to the length of the inpu…