In this work, we tackle the problem of online camera-to-robot pose estim...
The lacking of analytic solutions of diverse partial differential equati...
Numerous physics theories are rooted in partial differential equations
(...
In deep learning, neural networks serve as noisy channels between input ...
Video frame interpolation is a challenging task due to the ever-changing...
Networks are common in physics, biology, computer science, and social
sc...
Information transfer between coupled stochastic dynamics, measured by
tr...
Non-isolated systems have diverse coupling relations with the external
e...
We propose the Fourier-domain transfer entropy spectrum, a novel
general...
Neuromorphic data, recording frameless spike events, have attracted
cons...