Residual D2NN: training diffractive deep neural networks via learnable light shortcuts

Scalable analysis of cell-type composition from single-cell transcriptomics using deep recurrent learning

(2019) Yue Deng et al.   NATURE METHODS

All-optical spiking neurosynaptic networks with self-learning capabilities

(2019) J. Feldmann et al.   NATURE

Fourier-space Diffractive Deep Neural Network

(2019) Tao Yan et al.   PHYSICAL REVIEW LETTERS

Design of task-specific optical systems using broadband diffractive neural networks

(2019) Yi Luo et al.   Light-Science & Applications

All-optical machine learning using diffractive deep neural networks

(2018) Xing Lin et al.   SCIENCE

Deep learning with coherent nanophotonic circuits

(2017) Yichen Shen et al.   Nature Photonics

Deep Direct Reinforcement Learning for Financial Signal Representation and Trading

(2017) Yue Deng et al.   IEEE Transactions on Neural Networks and Learning Systems

Deep learning

(2015) Yann LeCun et al.   NATURE

Scope of validity of PSNR in image/video quality assessment

(2008) Q. Huynh-Thu et al.   ELECTRONICS LETTERS