2 papers
math.NA2025
Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems
Sung Woong Cho, Hwijae Son
Inverse problems involving partial differential equations (PDEs) can be seen as discovering a mapping from measurement data to unknown quantities, often framed within an operator l…
cs.LG2025
ELM-DeepONets: Backpropagation-Free Training of Deep Operator Networks via Extreme Learning Machines
Hwijae Son
Deep Operator Networks (DeepONets) are among the most prominent frameworks for operator learning, grounded in the universal approximation theorem for operators. However, training D…