3.2k citations · 4.3k across the 22 of their papers we have counts for
22 papers
A Brewster route to Cherenkov detectors
Xiao Lin, Hao Hu, Sajan Easo +10
The Cherenkov effect enables a valuable tool, known as the Cherenkov detector, to identify high-energy particles via the measurement of the Cherenkov cone. However, the sensitivity…
Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications
Matthew Khoury, Rumen Dangovski, Longwu Ou +3
Deep neural networks have become the standard approach to building reliable Natural Language Processing (NLP) applications, ranging from Neural Machine Translation (NMT) to dialogu…
A Recurrent Ising Machine in a Photonic Integrated Circuit
Mihika Prabhu, Charles Roques-Carmes, Yichen Shen +10
Conventional computing architectures have no known efficient algorithms for combinatorial optimization tasks, which are encountered in fundamental areas and real-world practical pr…
Heuristic Recurrent Algorithms for Photonic Ising Machines
Charles Roques-Carmes, Yichen Shen, Cristian Zanoci +10
The inability of conventional electronic architectures to efficiently solve large combinatorial problems motivates the development of novel computational hardware. There has been m…
Migrating Knowledge between Physical Scenarios based on Artificial Neural Networks
Yurui Qu, Li Jing, Yichen Shen +2
Deep learning is known to be data-hungry, which hinders its application in many areas of science when datasets are small. Here, we propose to use transfer learning methods to migra…
On-Chip Optical Convolutional Neural Networks
Hengameh Bagherian, Scott Skirlo, Yichen Shen +3
Convolutional Neural Networks (CNNs) are a class of Artificial Neural Networks(ANNs) that employ the method of convolving input images with filter-kernels for object recognition an…