2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2023★ 2 cited
Waveformer for modelling dynamical systems
N Navaneeth, Souvik Chakraborty
Neural operators have gained recognition as potent tools for learning solutions of a family of partial differential equations. The state-of-the-art neural operators excel at approx…
cs.LG2023
Enhanced multi-fidelity modelling for digital twin and uncertainty quantification
AS Desai, Navaneeth N, S Adhikari +1
The increasing significance of digital twin technology across engineering and industrial domains, such as aerospace, infrastructure, and automotive, is undeniable. However, the lac…
stat.ML2023
Physics informed WNO
Navaneeth N, Tapas Tripura, Souvik Chakraborty
Deep neural operators are recognized as an effective tool for learning solution operators of complex partial differential equations (PDEs). As compared to laborious analytical and…