In this work, we analyze the learnability of reproducing kernel Hilbert
...
Deep neural networks (DNNs) can be manipulated to exhibit specific behav...
We propose conditioning field initialization for neural network based
to...
We consider the problem of learning functions in the ℱ_p,π
and Barron sp...
We propose a direct mesh-free method for performing topology optimizatio...
In this paper, we focus on the theoretical analysis of diffusion-based
g...
We propose a neural network-based approach to topology optimization that...
Backdoor learning is an emerging and important topic of studying the
vul...