3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Operator Flow Matching for Timeseries Forecasting
Yolanne Yi Ran Lee, Kyriakos Flouris
Forecasting high-dimensional, PDE-governed dynamics remains a core challenge for generative modeling. Existing autoregressive and diffusion-based approaches often suffer cumulative…
cs.AI2023★ 1 cited
Interpretable Neural PDE Solvers using Symbolic Frameworks
Yolanne Yi Ran Lee
Partial differential equations (PDEs) are ubiquitous in the world around us, modelling phenomena from heat and sound to quantum systems. Recent advances in deep learning have resul…
cs.LG2023★ 3 cited
Autoregressive Renaissance in Neural PDE Solvers
Yolanne Yi Ran Lee
Recent developments in the field of neural partial differential equation (PDE) solvers have placed a strong emphasis on neural operators. However, the paper "Message Passing Neural…