Collision avoidance is a widely investigated topic in robotic applicatio...
Inverse Reinforcement Learning (IRL) is a powerful way of learning from
...
Provably solving stochastic convex optimization problems with constraint...
Recently, many Convolution Neural Networks (CNN) have been successfully
...
In synthetic aperture radar (SAR) image change detection, it is quite
ch...
Gradient-based approximate inference methods, such as Stein variational
...
With the fast development of information and communication technology (I...
Discrete integration in a high dimensional space of n variables poses
fu...