In recent years, several Weakly Supervised Semantic Segmentation (WS3)
m...
Conditional graph generation tasks involve training a model to generate ...
Physics-informed neural networks (PINNs) have emerged as a powerful tool...
A central goal in deep learning is to learn compact representations of
f...
We propose quadratic residual networks (QRes) as a new type of
parameter...
In this paper, we proposed the link injection, a novel method that
helps...
Physics-guided Machine Learning (PGML) is an emerging field of research ...
Physics-based simulations are often used to model and understand complex...