Logan G. Wright

14 papers Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Machine vision with small numbers of detected photons per inference.
CoRR
Shi-Yuan Ma, Jérémie Laydevant, Mandar M. Sohoni, Logan G. Wright, Tianyu Wang, Peter L. McMahon
2025 J jnl
Solving the compute crisis with physics-based ASICs.
CoRR
Maxwell Aifer, Zach Belateche, Suraj Bramhavar, Kerem Yunus Çamsari, Patrick J. Coles, Gavin E. Crooks, Douglas J. Durian, Andrea J. Liu, Anastasia Marchenkova, Antonio J. Martinez, Peter L. McMahon, Faris M. Sbahi, Benjamin Weiner, Logan G. Wright
2025 J jnl
Training of physical neural networks.
Nat.
Ali Momeni, Babak Rahmani, Benjamin Scellier, Logan G. Wright, Peter L. McMahon, Clara C. Wanjura, Yuhang Li, Anas Skalli, Natalia G. Berloff, Tatsuhiro Onodera, Ilker Oguz, Francesco Morichetti, Philipp del Hougne, Manuel Le Gallo, Abu Sebastian, Azalia Mirhoseini, Cheng Zhang, Danijela Markovic, Daniel Brunner, Christophe Moser, Sylvain Gigan, Florian Marquardt, Aydogan Ozcan, Julie Grollier, Andrea J. Liu, Demetri Psaltis, Andrea Alù, Romain Fleury
2024 J jnl
Optical Transformers.
Trans. Mach. Learn. Res.
Maxwell G. Anderson, Shi-Yuan Ma, Tianyu Wang, Logan G. Wright, Peter L. McMahon
2024 J jnl
Scaling on-chip photonic neural processors using arbitrarily programmable wave propagation.
CoRR
Tatsuhiro Onodera, Martin M. Stein, Benjamin A. Ash, Mandar M. Sohoni, Melissa Bosch, Ryotatsu Yanagimoto, Marc Jankowski, Timothy P. McKenna, Tianyu Wang, Gennady Shvets, Maxim R. Shcherbakov, Logan G. Wright, Peter L. McMahon
2024 J jnl
Training of Physical Neural Networks.
CoRR
Ali Momeni, Babak Rahmani, Benjamin Scellier, Logan G. Wright, Peter L. McMahon, Clara C. Wanjura, Yuhang Li, Anas Skalli, Natalia G. Berloff, Tatsuhiro Onodera, Ilker Oguz, Francesco Morichetti, Philipp del Hougne, Manuel Le Gallo, Abu Sebastian, Azalia Mirhoseini, Cheng Zhang, Danijela Markovic, Daniel Brunner, Christophe Moser, Sylvain Gigan, Florian Marquardt, Aydogan Ozcan, Julie Grollier, Andrea J. Liu, Demetri Psaltis, Andrea Alù, Romain Fleury
2023 J jnl
Optical Transformers.
CoRR
Maxwell G. Anderson, Shi-Yuan Ma, Tianyu Wang, Logan G. Wright, Peter L. McMahon
2023 J jnl
Quantum-noise-limited optical neural networks operating at a few quanta per activation.
CoRR
Shi-Yuan Ma, Tianyu Wang, Jérémie Laydevant, Logan G. Wright, Peter L. McMahon
2023 J jnl
The hardware is the software.
CoRR
Jérémie Laydevant, Logan G. Wright, Tianyu Wang, Peter L. McMahon
2022 J jnl
Deep physical neural networks trained with backpropagation.
Nat.
Logan G. Wright, Tatsuhiro Onodera, Martin M. Stein, Tianyu Wang, Darren T. Schachter, Zoey Hu, Peter L. McMahon
2022 J jnl
Image sensing with multilayer, nonlinear optical neural networks.
CoRR
Tianyu Wang, Mandar M. Sohoni, Logan G. Wright, Martin M. Stein, Shi-Yuan Ma, Tatsuhiro Onodera, Maxwell G. Anderson, Peter L. McMahon
2021 — conf
A Photonic Neural Network Using < 1 Photon per Scalar Multiplication.
HCS
Tianyu Wang, Shi-Yuan Ma, Logan G. Wright, Tatsuhiro Onodera, Brian C. Richard, Peter L. McMahon
2021 J jnl
An optical neural network using less than 1 photon per multiplication.
CoRR
Tianyu Wang, Shi-Yuan Ma, Logan G. Wright, Tatsuhiro Onodera, Brian C. Richard, Peter L. McMahon
2021 J jnl
Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems.
CoRR
Logan G. Wright, Tatsuhiro Onodera, Martin M. Stein, Tianyu Wang, Darren T. Schachter, Zoey Hu, Peter L. McMahon