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2020 – today
- 2024
[i16]Shaoyuan Ou, Alexander Sludds, Ryan Hamerly, Ke Zhang, Hanke Feng, Eric Zhong, Cheng Wang, Dirk R. Englund, Mengjie Yu, Zaijun Chen:
Hypermultiplexed Integrated Tensor Optical Processor. CoRR abs/2401.18050 (2024)- 2023
- [c9]Kambiz Jamshidi, Mircea Catuneanu, Menglong He, Abdou Shetewy, Arezoo Zarif, Sourav Dev, Hrishikesh Vithalani, Shiyao Fang, David Heydari, Ryan Hamerly, Hideo Mabuchi:
Numerical Modelling and Characterization of Active Silicon Ring Resonators. ICTON 2023: 1-4 - [c8]Ryan Hamerly, Alexander Sludds, Dirk R. Englund:
A Phase-Optimal Linear Photonic Architecture. PSC 2023: 1-3 - 2022
- [c7]Ryan Hamerly, Saumil Bandyopadhyay, Alexander Sludds, Dirk R. Englund:
Design of Asymptotically Perfect Linear Feedforward Photonic Circuits. OFC 2022: 1-3 - [c6]Alexander Sludds, Ryan Hamerly, Saumil Bandyopadhyay, Zhizhen Zhong, Zaijun Chen, Liane Bernstein, Manya Ghobadi, Dirk R. Englund:
Demonstration of WDM-Enabled Ultralow-Energy Photonic Edge Computing. OFC 2022: 1-3 - [c5]Zaijun Chen, Alexander Sludds, Ronald Davis, Ian Christen, Lamia Ateshian, Liane Bernstein, Tobias Heuser, Niels Heermeier, James A. Lott, Stephan Reitzenstein, Ryan Hamerly, Dirk R. Englund
:
Coherent VCSEL Network Computing. OECC/PSC 2022: 1-3 - [c4]Alexander Sludds, Ryan Hamerly, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Liane Bernstein, Manya Ghobadi, Dirk R. Englund:
WDM-Enabled Photonic Edge Computing. OECC/PSC 2022: 1-3 - [i15]Alexander Sludds, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Jared Cochrane, Liane Bernstein, Darius Bunandar, P. Ben Dixon, Scott A. Hamilton, Matthew Streshinsky, Ari Novack, Tom Baehr Jones, Michael Hochberg, Manya Ghobadi, Ryan Hamerly, Dirk R. Englund:
Delocalized Photonic Deep Learning on the Internet's Edge. CoRR abs/2203.05466 (2022) - [i14]Liane Bernstein, Alexander Sludds, Christopher Panuski, Sivan Trajtenberg-Mills, Ryan Hamerly, Dirk R. Englund:
Single-Shot Optical Neural Network. CoRR abs/2205.09103 (2022) - [i13]Ryan Hamerly, Alexander Sludds, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Liane Bernstein, Dirk R. Englund:
Netcast: Low-Power Edge Computing with WDM-defined Optical Neural Networks. CoRR abs/2207.01777 (2022) - [i12]Zaijun Chen, Alexander Sludds, Ronald Davis, Ian Christen, Liane Bernstein, Tobias Heuser, Niels Heermeier, James A. Lott, Stephan Reitzenstein, Ryan Hamerly, Dirk R. Englund:
Deep Learning with Coherent VCSEL Neural Networks. CoRR abs/2207.05329 (2022) - [i11]Ronald Davis, Zaijun Chen, Ryan Hamerly, Dirk R. Englund:
Frequency-Encoded Deep Learning with Speed-of-Light Dominated Latency. CoRR abs/2207.06883 (2022) - [i10]Saumil Bandyopadhyay, Alexander Sludds, Stefan Krastanov, Ryan Hamerly, Nicholas C. Harris, Darius Bunandar, Matthew Streshinsky, Michael Hochberg, Dirk R. Englund:
Single chip photonic deep neural network with accelerated training. CoRR abs/2208.01623 (2022) - [i9]Jasvith Raj Basani, Sri Krishna Vadlamani, Saumil Bandyopadhyay, Dirk R. Englund, Ryan Hamerly:
A Self-Similar Sine-Cosine Fractal Architecture for Multiport Interferometers. CoRR abs/2209.03335 (2022) - [i8]Sri Krishna Vadlamani, Dirk R. Englund, Ryan Hamerly:
Transferable Learning on Analog Hardware. CoRR abs/2210.06632 (2022) - 2021
- [c3]Ryan Hamerly, Saumil Bandyopadhyay, Dirk R. Englund:
Robust Zero-Change Self-Configuration of the Rectangular Mesh. OFC 2021: 1-3 - [c2]Zhizhen Zhong, Weiyang Wang, Manya Ghobadi, Alexander Sludds, Ryan Hamerly, Liane Bernstein, Dirk R. Englund:
IOI: In-network Optical Inference. OptSys@SIGCOMM 2021: 18-22 - [i7]Saumil Bandyopadhyay, Ryan Hamerly, Dirk R. Englund:
Hardware error correction for programmable photonics. CoRR abs/2103.04993 (2021) - [i6]Ryan Hamerly, Saumil Bandyopadhyay, Dirk R. Englund:
Accurate Self-Configuration of Rectangular Multiport Interferometers. CoRR abs/2106.03249 (2021) - [i5]Ryan Hamerly, Saumil Bandyopadhyay, Dirk R. Englund:
Stability of Self-Configuring Large Multiport Interferometers. CoRR abs/2106.04363 (2021) - [i4]Ryan Hamerly, Saumil Bandyopadhyay, Dirk R. Englund:
Infinitely Scalable Multiport Interferometers. CoRR abs/2109.05367 (2021) - 2020
- [i3]Liane Bernstein, Alexander Sludds, Ryan Hamerly, Vivienne Sze, Joel S. Emer, Dirk R. Englund:
Freely scalable and reconfigurable optical hardware for deep learning. CoRR abs/2006.13926 (2020)
2010 – 2019
- 2019
- [c1]Kambiz Jamshidi, Mircea Catuneanu, Nirav Annavarapu, Sourav Dev, Shahryar Sabouri, Ryan Hamerly, Dodd Gray, Christopher Rogers, David Heydari, Hideo Mabuchi:
A Review on the Applications and Challenges of Active Silicon Ring Resonators. ICTON 2019: 1-2 - 2018
- [i2]Ryan Hamerly, Takahiro Inagaki, Peter L. McMahon, Davide Venturelli, Alireza Marandi, Tatsuhiro Onodera, Edwin Ng, Carsten Langrock, Kensuke Inaba, Toshimori Honjo, Koji Enbutsu, Takeshi Umeki, Ryoichi Kasahara, Shoko Utsunomiya, Satoshi Kako, Ken-ichi Kawarabayashi, Robert L. Byer, Martin M. Fejer, Hideo Mabuchi, Eleanor Gilbert Rieffel, Hiroki Takesue, Yoshihisa Yamamoto:
Scaling advantages of all-to-all connectivity in physical annealers: the Coherent Ising Machine vs. D-Wave 2000Q. CoRR abs/1805.05217 (2018) - [i1]Ryan Hamerly, Alex Sludds, Liane Bernstein, Marin Soljacic, Dirk R. Englund:
Large-Scale Optical Neural Networks based on Photoelectric Multiplication. CoRR abs/1812.07614 (2018)
Coauthor Index
aka: Alexander Sludds
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last updated on 2024-04-24 23:10 CEST by the dblp team
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