16 citations · 16 across the 3 of their papers we have counts for
4 papers
Neural Operator Splitting for Fluid Dynamics in Complex Geometry
Jianxiang Li, Xi Deng, Hong Chul Nam +1
Solving dynamical systems in complex and diverse geometries remains challenging for both numerical solvers and learning-based surrogate models. We propose Neural Operator Splitting…
Operator Learning Using Weak Supervision from Walk-on-Spheres
Hrishikesh Viswanath, Hong Chul Nam, Xi Deng +3
Training neural PDE solvers is often bottlenecked by expensive data generation or unstable physics-informed neural network (PINN) involving challenging optimization landscapes due…
Solving Poisson Equations using Neural Walk-on-Spheres
Hong Chul Nam, Julius Berner, Anima Anandkumar
We propose Neural Walk-on-Spheres (NWoS), a novel neural PDE solver for the efficient solution of high-dimensional Poisson equations. Leveraging stochastic representations and Walk…
Victima: Drastically Increasing Address Translation Reach by Leveraging Underutilized Cache Resources
Konstantinos Kanellopoulos, Hong Chul Nam, F. Nisa Bostanci +5
Address translation is a performance bottleneck in data-intensive workloads due to large datasets and irregular access patterns that lead to frequent high-latency page table walks…