12 citations · 14 across the 2 of their papers we have counts for
3 papers
Selection, Representation, and Execution in Sparse Fourier Neural Operators
Abdul Qadir Ibrahim, Martin Burger
Sparse representations are often expected to make models smaller and also reduce inference cost. For Fourier Neural Operators (FNOs), these objectives are not equivalent or do not…
Space-time parallel scaling of Parareal with a physics-informed Fourier Neural Operator coarse propagator applied to the Black-Scholes equation
Abdul Qadir Ibrahim, Sebastian Götschel, Daniel Ruprecht
Iterative parallel-in-time algorithms like Parareal can extend scaling beyond the saturation of purely spatial parallelization when solving initial value problems. However, they re…
Parareal with a physics-informed neural network as coarse propagator
Abdul Qadir Ibrahim, Sebastian Götschel, Daniel Ruprecht
Parallel-in-time algorithms provide an additional layer of concurrency for the numerical integration of models based on time-dependent differential equations. Methods like Parareal…