Above is an adversarial example: the slightly perturbed image of the cat fools an InceptionV3 classifier into classifying it as "guacamole". Such "fooling images" are easy to synthesize using gradient ...

Abstract: Stochastic gradient descent (SGD) is a popular and efficient method with wide applications in training deep neural nets and other nonconvex models. While the behavior of SGD is well ...

Color gradient filament is fun stuff to play with. It lets you make 3D prints that slowly fade from one color to another along the Z-axis. [David Gozzard] wanted to do some printing with this effect, ...

Abstract: In this paper, we propose a trajectory generation framework for quadrotor autonomous navigation in unknown 3-D complex environments using gradient information. We decouple the trajectory ...