Africa
SGD on Neural Networks Learns Functions of Increasing Complexity
Dimitris Kalimeris, Gal Kaplun, Preetum Nakkiran, Benjamin Edelman, Tristan Yang, Boaz Barak, Haofeng Zhang
Neural Information Processing Systems http://nips.cc/
Piecewise Strong Convexity of Neural Networks
Neural Information Processing Systems http://nips.cc/
Distinguishing Distributions When Samples Are Strategically Transformed
Hanrui Zhang, Yu Cheng, Vincent Conitzer
Often, a principal must make a decision based on data provided by an agent.
Learning Fractional White Noises in Neural Stochastic Differential Equations
Differential equations play important roles in modeling complex physical systems.
Detecting Dark Fishing Activity Using Synthetic Aperture Radar
Comprised of GRD and SLC images from Sentinel-1; AIS used to create labels.
xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery Fernando S. Paolo 1,, Tsu-ting Tim Lin
Identifying vessels that do not show up in conventional monitoring systems--known as "dark vessels"--is key to managing and securing the health
Theoretical analysis of deep neural networks for temporally dependent observations
Despite the widespread use of neural networks in such settings, most theoretical developments of deep neural networks are under the assumption of independent observations, and theoretical results for temporally dependent observations are scarce.