Learning foundation operators and diffusion models over function spaces
Speaker: Lu Lu, Yale University Abstract: As an emerging paradigm in scientific machine learning (SciML), deep neural operators pioneered by us can learn nonlinear operators of complex dynamic systems via neural networks. In this talk, I will present the vanilla deep operator network (DeepONet) and several extensions of DeepONet, such as DeepONet with Fourier decoder…