Folgen
Martin M Stein
Martin M Stein
NTT Research and Yale University
Bestätigte E-Mail-Adresse bei yale.edu
Titel
Zitiert von
Zitiert von
Jahr
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
6152022
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
1462023
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
832020
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
422020
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
242021
Confirming what we know: Understanding questionable research practices in intro physics labs
MM Stein, EM Smith, NG Holmes
arXiv preprint arXiv:1807.04716, 2018
192018
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
122020
Surprise! Shifting students away from model-verifying frames in physics labs
EM Smith, MM Stein, NG Holmes
arXiv preprint arXiv:1807.04710, 2018
112018
Sense of agency, gender, and students' perception in open-ended physics labs
ZY Kalender, M Stein, NG Holmes
arXiv preprint arXiv:2007.07427, 2020
92020
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
62024
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
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
12023
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 two-dimensional photonic chip for machine learning
T Onodera, MM Stein, BA Ash, MM Sohoni, MJ Bosch, R Yanagimoto, ...
Photonic Computing: From Materials and Devices to Systems and Applications …, 2024
2024
Arbitrarily programmable wave propagation on a photonic chip
MM Stein, T Onodera, BA Ash, MM Sohoni, M Bosch, R Yanagimoto, ...
Machine Learning in Photonics 13017, 96-99, 2024
2024
PHYSICS AWARE TRAINING FOR DEEP PHYSICAL NEURAL NETWORKS
LG Wright, T Onodera, PL Mcmahon, M Stein
US Patent App. 18/287,808, 2024
2024
A fully programmable on-chip planar waveguide for machine learning
MM Stein, T Onodera, BA Ash, MM Sohoni, M Bosch, R Yanagimoto, ...
CLEO: Science and Innovations, SF2M. 1, 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
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
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20