In-memory computing on a photonic platform. - Carlos Ríos; Nathan Youngblood; Zengguang Cheng; Manuel Le Gallo; Wolfram H. P. Pernice; C. David Wright; Abu Sebastian; Harish Bhaskaran (CoRR, 2018)

Integrated Phase-Change Photonics: A Strategy for Merging Communication and Computing. - C. David Wright; Harish Bhaskaran; Wolfram H. P. Pernice; Santiago Garcia-Cuevas Carrillo; Emanuele Gemo; Anna Baldycheva; Zengguang Cheng; Xuan Li; Carlos Ríos; Nathan Youngblood; Johannes Feldmann; Nico Gruhler; et al. (OFC, 2019)

LightBulb: A Photonic-Nonvolatile-Memory-based Accelerator for Binarized Convolutional Neural Networks. - Farzaneh Zokaee; Qian Lou; Nathan Youngblood; Weichen Liu; Yiyuan Xie; Lei Jiang 001 (DATE, 2020)

Parallel convolution processing using an integrated photonic tensor core. - Johannes Feldmann; Nathan Youngblood; Maxim Karpov; Helge Gehring; Xuan Li; Manuel Le Gallo; Xin Fu; Anton Lukashchuk; Arslan Raja; Junqiu Liu; C. David Wright; Abu Sebastian; et al. (CoRR, 2020)

Monadic Pavlovian associative learning in a backpropagation-free photonic network. - James Y. S. Tan; Zengguang Cheng; Xuan Li; Nathan Youngblood; Utku E. Ali; C. David Wright; Wolfram H. P. Pernice; Harish Bhaskaran (CoRR, 2020)

All-optical spiking neurosynaptic networks with self-learning capabilities. - Johannes Feldmann; Nathan Youngblood; C. David Wright; Harish Bhaskaran; Wolfram H. P. Pernice (CoRR, 2021)

Parallel convolutional processing using an integrated photonic tensor core. - Johannes Feldmann; Nathan Youngblood; Maxim Karpov; Helge Gehring; Xuan Li; Maik Stappers; Manuel Le Gallo; Xin Fu; Anton Lukashchuk; Arslan S. Raja; Junqiu Liu; C. David Wright; et al. (Nat., 2021)

AnalogVNN: A fully modular framework for modeling and optimizing photonic neural networks. - Vivswan Shah; Nathan Youngblood (CoRR, 2022)

In-memory photonic dot-product engine with electrically programmable weight banks. - Wen Zhou; Bowei Dong; Nikolaos Farmakidis; Xuan Li; Nathan Youngblood; Kairan Huang; Yuhan He; C. David Wright; Wolfram H. P. Pernice; Harish Bhaskaran (CoRR, 2023)

OFHE: An Electro-Optical Accelerator for Discretized TFHE. - Mengxin Zheng; Cheng Chu; Qian Lou; Nathan Youngblood; Mo Li; Sajjad Moazeni; Lei Jiang 001 (ISLPED, 2024)

Leveraging Continuously Differentiable Activation Functions for Learning in Quantized Noisy Environments. - Vivswan Shah; Nathan Youngblood (CoRR, 2024)

OFHE: An Electro-Optical Accelerator for Discretized TFHE. - Mengxin Zheng; Cheng Chu; Qian Lou; Nathan Youngblood; Mo Li; Sajjad Moazeni; Lei Jiang (CoRR, 2024)

LightML: A Photonic Accelerator for Efficient General Purpose Machine Learning. - Liang Liu; Sadra Rahimi Kari; Xin Xin 008; Nathan Youngblood; Youtao Zhang; Jun Yang 002 (ISCA, 2025)