Nathan Youngblood

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 11

Top Topics

Processing Units

Noisy Environments

Associative Learning

Top Venues

Publications

Mengxin Zheng, Cheng Chu, Qian Lou, Nathan Youngblood, Mo Li, Sajjad Moazeni, Lei Jiang
OFHE: An Electro-Optical Accelerator for Discretized TFHE. CoRR (2024)
Vivswan Shah, Nathan Youngblood
Leveraging Continuously Differentiable Activation Functions for Learning in Quantized Noisy Environments. CoRR (2024)
Wen Zhou, Bowei Dong, Nikolaos Farmakidis, Xuan Li, Nathan Youngblood, Kairan Huang, Yuhan He, C. David Wright, Wolfram H. P. Pernice, Harish Bhaskaran
In-memory photonic dot-product engine with electrically programmable weight banks. CoRR (2023)
Vivswan Shah, Nathan Youngblood
AnalogVNN: A fully modular framework for modeling and optimizing photonic neural networks. CoRR (2022)
Johannes Feldmann, Nathan Youngblood, Maxim Karpov, Helge Gehring, Xuan Li, M. Stappers, Manuel Le Gallo, Xin Fu, Anton Lukashchuk, Arslan S. Raja, Junqiu Liu, C. David Wright, Abu Sebastian, Tobias J. Kippenberg, Wolfram H. P. Pernice, Harish Bhaskaran
Parallel convolutional processing using an integrated photonic tensor core. Nat. 589 (7840) (2021)
Johannes Feldmann, Nathan Youngblood, C. David Wright, Harish Bhaskaran, Wolfram H. P. Pernice
All-optical spiking neurosynaptic networks with self-learning capabilities. CoRR (2021)
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, Tobias Kippenberg, Wolfram H. P. Pernice, Harish Bhaskaran
Parallel convolution processing using an integrated photonic tensor core. CoRR (2020)
Farzaneh Zokaee, Qian Lou, Nathan Youngblood, Weichen Liu, Yiyuan Xie, Lei Jiang
LightBulb: A Photonic-Nonvolatile-Memory-based Accelerator for Binarized Convolutional Neural Networks. DATE (2020)
James Y. S. Tan, Zengguang Cheng, Xuan Li, Nathan Youngblood, Utku E. Ali, C. David Wright, Wolfram H. P. Pernice, Harish Bhaskaran
Monadic Pavlovian associative learning in a backpropagation-free photonic network. CoRR (2020)
C. David Wright, Harish Bhaskaran, Wolfram H. P. Pernice, Santiago G.-C. Carrillo, Emanuele Gemo, Anna Baldycheva, Zengguang Cheng, Xuan Li, Carlos Ríos, Nathan Youngblood, Johannes Feldmann, Nico Gruhler, Matthias Stegmaier
Integrated Phase-Change Photonics: A Strategy for Merging Communication and Computing. OFC (2019)
Carlos Ríos, Nathan Youngblood, Zengguang Cheng, Manuel Le Gallo, Wolfram H. P. Pernice, C. David Wright, Abu Sebastian, Harish Bhaskaran
In-memory computing on a photonic platform. CoRR (2018)