2 citations · 2 across the 3 of their papers we have counts for
3 papers
math.NA2024
Harnessing physics-informed operators for high-dimensional reliability analysis problems
N Navaneeth, Tushar, Souvik Chakraborty
Reliability analysis is a formidable task, particularly in systems with a large number of stochastic parameters. Conventional methods for quantifying reliability often rely on exte…
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…
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…