This paper identifies a structural property of data distributions that enables deep neural networks to learn hierarchically. We define the "staircase" property for

In this way, the predictive unit can perceive more temporal dynamics from a wider receptive field.

Adversarial reprogramming, introduced by Elsayed, Goodfellow, and Sohl-Dickstein, seeks to repurpose a neural network to perform a different task, by manipulating its input without modifying its weights.

However, these methods all ignore the fact that most lidar sensors scan the scene sequentially as the lidar rotates around the z-axis.

Accurate intraoperative diagnosis is essential for providing safe and effective care during brain tumor surgery.