SOTAVerified

Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 91–100 of 347 papers

TitleStatusHype
New universal operator approximation theorem for encoder-decoder architectures (Preprint)—0
DeepOFormer: Deep Operator Learning with Domain-informed Features for Fatigue Life Prediction—0
EquiNO: A Physics-Informed Neural Operator for Multiscale SimulationsCode0
Invertible Koopman neural operator for data-driven modeling of partial differential equations—0
Data-Driven, ML-assisted Approaches to Problem Well-Posedness—0
Theory-to-Practice Gap for Neural Networks and Neural Operators—0
Physics-Informed Deep B-Spline Networks for Dynamical Systems—0
ON-Traffic: An Operator Learning Framework for Online Traffic Flow Estimation and Uncertainty Quantification from Lagrangian SensorsCode0
Active operator learning with predictive uncertainty quantification for partial differential equations—0
Cauchy Random Features for Operator Learning in Sobolev SpaceCode0
Show:102550
← PrevPage 10 of 35Next →

No leaderboard results yet.