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Martin M Stein
Martin M Stein
PhD Student, Cornell University
Verified email at cornell.edu
Title
Cited by
Cited by
Year
Deep physical neural networks trained with backpropagation
LG Wright, T Onodera, MM Stein, T Wang, DT Schachter, Z Hu, ...
Nature 601 (7894), 549-555, 2022
4062022
Direct measurement of the impact of teaching experimentation in physics labs
EM Smith, MM Stein, C Walsh, NG Holmes
Physical Review X 10 (1), 011029, 2020
722020
Image sensing with multilayer nonlinear optical neural networks
T Wang, MM Sohoni, LG Wright, MM Stein, SY Ma, T Onodera, ...
Nature Photonics 17 (5), 408-415, 2023
622023
How expectations of confirmation influence students’ experimentation decisions in introductory labs
EM Smith, MM Stein, NG Holmes
Physical Review Physics Education Research 16 (1), 010113, 2020
252020
Exploring the effects of omitted variable bias in physics education research
C Walsh, MM Stein, R Tapping, EM Smith, NG Holmes
Physical Review Physics Education Research 17 (1), 010119, 2021
192021
Confirming what we know: Understanding questionable research practices in intro physics labs
MM Stein, EM Smith, NG Holmes
arXiv preprint arXiv:1807.04716, 2018
152018
Student interpretations of uncertainty in classical and quantum mechanics experiments
MM Stein, C White, G Passante, NG Holmes
2019 Physics Education Research Conference Proceedings, 2020
102020
Surprise! Shifting students away from model-verifying frames in physics labs
EM Smith, MM Stein, NG Holmes
arXiv preprint arXiv:1807.04710, 2018
82018
Sense of agency, gender, and students' perception in open-ended physics labs
ZY Kalender, M Stein, NG Holmes
arXiv preprint arXiv:2007.07427, 2020
62020
Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems (2021)
LG Wright, T Onodera, MM Stein, T Wang, DT Schachter, Z Hu, ...
arXiv preprint arXiv:2104.13386, 0
5
Deep nonlinear optical neural networks using physics-aware training
LG Wright, T Onodera, MM Stein, T Wang, DT Schachter, Z Hu, ...
CLEO: QELS_Fundamental Science, FF1A. 4, 2021
22021
Questionable research practices in introductory physics labs
MM Stein, EM Smith, NG Holmes
Bulletin of the American Physical Society 65, 2020
12020
A fully programmable on-chip planar waveguide for machine learning
M Stein, T Onodera, BA Ash, MM Sohoni, M Bosch, R Yanagimoto, ...
AI and Optical Data Sciences V, PC1290311, 2024
2024
Machine learning with complex wave propagation in inverse-designed photonic device
T Onodera, M Stein, B Ash, L Wright, P McMahon
AI and Optical Data Sciences V, PC1290303, 2024
2024
Scaling on-chip photonic neural processors using arbitrarily programmable wave propagation
T Onodera, MM Stein, BA Ash, MM Sohoni, M Bosch, R Yanagimoto, ...
arXiv preprint arXiv:2402.17750, 2024
2024
Multi-purpose Image Sensors with Nonlinear Optical Neural Networks
T Wang, MM Sohoni, LG Wright, MM Stein, SY Ma, T Onodera, ...
Laser Science, FW5A. 2, 2023
2023
Image Sensors Based on Nonlinear Optical Neural Networks
MM Sohoni, T Wang, LG Wright, MM Stein, SY Ma, T Onodera, ...
CLEO: Science and Innovations, STu4F. 3, 2023
2023
Applications of digital micromirror devices in photonic neural networks
T Wang, MM Sohoni, SY Ma, LG Wright, T Onodera, MM Stein, ...
Emerging Digital Micromirror Device Based Systems and Applications XV, PC1243501, 2023
2023
Deep physical neural networks based on ultrafast nonlinear optics
T Onodera, LG Wright, MM Stein, T Wang, DT Schachter, Z Hu, ...
AI and Optical Data Sciences IV, PC124380H, 2023
2023
Hardware-efficient, large-scale reconfigurable optical neural network (ONN) with backpropagation
F Xia, Z Wang, L Wright, T Onodera, M Stein, J Hu, P McMahon, S Gigan
AI and Optical Data Sciences IV 12438, 282-283, 2023
2023
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