2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2026
Data-driven discovery of governing differential equations across physical systems
Siyu Lou, Hao Xu, Wenguan Wang +6
Differential equations play a critical role in scientific discovery because they provide a mathematical framework to describe the behaviour of physical phenomena. As a promising al…
cs.CV2024
Reasoning-Enhanced Object-Centric Learning for Videos
Jian Li, Pu Ren, Yang Liu +1
Object-centric learning aims to break down complex visual scenes into more manageable object representations, enhancing the understanding and reasoning abilities of machine learnin…
physics.app-ph2024★ 2 cited
Physics-Informed Machine Learning for Seismic Response Prediction OF Nonlinear Steel Moment Resisting Frame Structures
R. Bailey Bond, Pu Ren, Jerome F. Hajjar +1
There is growing interest in using machine learning (ML) methods for structural metamodeling due to the substantial computational cost of traditional simulations. Purely data-drive…