ELM-DeepONet trains DeepONets by fixing branch and trunk weights and solving a pseudoinverse least-squares problem for a linking matrix, reporting faster and often more accurate results than backprop-trained DeepONets.
Deep neural network approach to forward-inverse problems
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
ELM-DeepONets: Backpropagation-Free Training of Deep Operator Networks via Extreme Learning Machines
ELM-DeepONet trains DeepONets by fixing branch and trunk weights and solving a pseudoinverse least-squares problem for a linking matrix, reporting faster and often more accurate results than backprop-trained DeepONets.