5 citations · 12 across the 8 of their papers we have counts for
3 papers · 1 filter
Stability and Discretization Error of State Space Model Neural Operators
Abderrahim Bendahi, Adrien Fradin, Johan Peralez +2
Neural operators have emerged as a powerful, discretization-invariant framework for solving partial differential equations (PDEs). Although established approaches like the Deep Ope…
Space and Time Continuous Physics Simulation From Partial Observations
Janny Steeven, Nadri Madiha, Digne Julie +1
Modern techniques for physical simulations rely on numerical schemes and mesh-refinement methods to address trade-offs between precision and complexity, but these handcrafted solut…
Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers
Steeven Janny, Aurélien Béneteau, Madiha Nadri +3
Estimating fluid dynamics is classically done through the simulation and integration of numerical models solving the Navier-Stokes equations, which is computationally complex and t…