A Comprehensive and Modularized Statistical Framework for Gradient Norm Equal…

The rapid development of deep neural networks (DNNs) in recent years can be attributed to the various techniques that address gradient explosion and vanishing. In order to understand the principle …

Sampling Based Estimation of In-Degree Distribution for Directed Complex Netw…

The focus of this work is on estimation of the in-degree distribution in directed networks from sampling network nodes or edges. A number of sampling schemes are considered, including random sampli…

You Only Search Once : Single Shot Neural Architecture Search via Direct Spar…

Recently neural architecture search (NAS) has raised great interest in both academia and industry. However, it remains challenging because of its huge and non-continuous search space. Instead of ap…

Noise Performance and Long-Term Stability of Near- and Mid-IR Gas-Filled Fibe…

Stimulated Raman scattering (SRS) enabled by the emerging gas-filled low-loss anti-resonant hollow-core fiber (ARHCF) technology opens up a competitive way towards the development of novel lasers i…

Real-Time 2.5-Gb/s Correlated Random Bit Generation Using Synchronized Chaos …

We experimentally demonstrate high-speed correlated random bit generation in real time using synchronized chaotic lasers commonly driven by a laser with dispersive feedback. The dispersive feedback…

Simulation of Monolithically Integrated Semiconductor Laser Subject to Random…

Ultrafast Fully Photonic Random Bit Generator

All-Optical Comparator With a Step-Like Transfer Function

Optofluidic Microring Resonator Laser Based on Cavity-Assisted Energy Transfe…

Integrated Open Loop Resonator Filter Designed with Notch Patch Antenna for M…