2 papers
cs.LG2026
Learning Where to Simulate: Generative Active Sampling for Online PDE Surrogate Training
Pierre Cesar, Sofya Dymchenko, Abhishek Purandare +1
Data-driven PDE surrogates are trained with data produced by numerical PDE solvers. However, when the surrogate's goal is to generalize across a wide range of PDE configurations (e…
cs.LG2024
MelissaDL x Breed: Towards Data-Efficient On-line Supervised Training of Multi-parametric Surrogates with Active Learning
Sofya Dymchenko, Abhishek Purandare, Bruno Raffin
Artificial intelligence is transforming scientific computing with deep neural network surrogates that approximate solutions to partial differential equations (PDEs). Traditional of…