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Nathan Youngblood
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2020 – today
- 2024
- [c3]Mengxin Zheng, Cheng Chu, Qian Lou, Nathan Youngblood, Mo Li, Sajjad Moazeni, Lei Jiang:
OFHE: An Electro-Optical Accelerator for Discretized TFHE. ISLPED 2024: 1-6 - [i8]Vivswan Shah, Nathan Youngblood:
Leveraging Continuously Differentiable Activation Functions for Learning in Quantized Noisy Environments. CoRR abs/2402.02593 (2024) - [i7]Mengxin Zheng, Cheng Chu, Qian Lou, Nathan Youngblood, Mo Li, Sajjad Moazeni, Lei Jiang:
OFHE: An Electro-Optical Accelerator for Discretized TFHE. CoRR abs/2405.11607 (2024) - 2023
- [i6]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 abs/2304.14302 (2023) - 2022
- [i5]Vivswan Shah, Nathan Youngblood:
AnalogVNN: A fully modular framework for modeling and optimizing photonic neural networks. CoRR abs/2210.10048 (2022) - 2021
- [j1]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, Abu Sebastian, Tobias J. Kippenberg, Wolfram H. P. Pernice, Harish Bhaskaran:
Parallel convolutional processing using an integrated photonic tensor core. Nat. 589(7840): 52-58 (2021) - [i4]Johannes Feldmann, Nathan Youngblood, C. David Wright, Harish Bhaskaran, Wolfram H. P. Pernice:
All-optical spiking neurosynaptic networks with self-learning capabilities. CoRR abs/2102.09360 (2021) - 2020
- [c2]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: 1438-1443 - [i3]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 abs/2002.00281 (2020) - [i2]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 abs/2011.14709 (2020)
2010 – 2019
- 2019
- [c1]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, Matthias Stegmaier:
Integrated Phase-Change Photonics: A Strategy for Merging Communication and Computing. OFC 2019: 1-2 - 2018
- [i1]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 abs/1801.06228 (2018)
Coauthor Index
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