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Sri Krishna Vadlamani
Sri Krishna Vadlamani
Postdoctoral Associate, Massachusetts Institute of Technology
Verifisert e-postadresse på mit.edu
Tittel
Sitert av
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År
Physics successfully implements Lagrange multiplier optimization
SK Vadlamani, TP Xiao, E Yablonovitch
Proceedings of the National Academy of Sciences 117 (43), 26639-26650, 2020
822020
Transferable learning on analog hardware
SK Vadlamani, D Englund, R Hamerly
Science Advances 9 (28), eadh3436, 2023
192023
Tunnel-fet switching is governed by non-lorentzian spectral line shape
SK Vadlamani, S Agarwal, DT Limmer, SG Louie, FR Fischer, ...
Proceedings of the IEEE 108 (8), 1235-1244, 2019
162019
Elitist quantum-inspired differential evolution based wrapper for feature subset selection
V Srikrishna, R Ghosh, V Ravi, K Deb
Multi-disciplinary Trends in Artificial Intelligence: 9th International …, 2015
152015
A self-similar sine–cosine fractal architecture for multiport interferometers
JR Basani, SK Vadlamani, S Bandyopadhyay, DR Englund, R Hamerly
Nanophotonics 12 (5), 975-984, 2023
122023
Combinatorial optimization using the Lagrange primal-dual dynamics of parametric oscillator networks
SK Vadlamani, TP Xiao, E Yablonovitch
Physical Review Applied 21 (4), 044042, 2024
5*2024
Generative neural network based non-convex optimization using policy gradients with an application to electromagnetic design
S Hooten, S KrishnaVadlamani, RG Beausoleil, T Van Vaerenbergh
NeurIPS 2021 AI for Science Workshop, 2021
42021
Quantum-secure multiparty deep learning
K Sulimany, SK Vadlamani, R Hamerly, P Iyengar, D Englund
arXiv preprint arXiv:2408.05629, 2024
32024
Sharp Switching in Tunnel Transistors and Physics-based Machines for Optimization
SK Vadlamani
University of California, Berkeley, 2021
32021
Towards the Information-Theoretic Limit of Programmable Photonics
R Hamerly, JR Basani, A Sludds, SK Vadlamani, D Englund
arXiv preprint arXiv:2408.09673, 2024
22024
Equivalence of Coupled Parametric Oscillator Dynamics to Lagrange Multiplier Optimization
SK Vadlamani, TP Xiao, E Yablonovitch
2022 IEEE International Conference on Rebooting Computing (ICRC), 45-50, 2022
22022
One-Time Training That Transfers to Arbitrary Highly Faulty Optical Neural Networks
SK Vadlamani, R Hamerly, D Englund
Frontiers in Optics, FTh1B. 3, 2022
12022
QAMNet: Fast and Efficient Optical QAM Neural Networks
MG Bacvanski, SK Vadlamani, K Sulimany, DR Englund
arXiv preprint arXiv:2409.12305, 2024
2024
Improved Differential Evolution based Feature Selection through Quantum, Chaos, and Lasso
Y Vivek, SK Vadlamani, V Ravi, PR Krishna
arXiv preprint arXiv:2408.10693, 2024
2024
Parametric Oscillator Networks Naturally Implement the Lagrange Multiplier Primal-Dual Algorithm for Combinatorial Optimization Problems
SK Vadlamani, TP Xiao, E Yablonovitch
Bulletin of the American Physical Society, 2024
2024
Transferable Learning on Analog Neural Network Hardware
SK Vadlamani, D Englund, R Hamerly
Bulletin of the American Physical Society, 2024
2024
Multiplexing methods for scaling up photonic logic
R Hamerly, S Bandyopadhyay, A Sludds, Z Chen, L Bernstein, ...
AI and Optical Data Sciences IV 12438, 1243802, 2023
2023
New Pre-Requisites for Steep Sub-Threshold Tunnel Transistors
SK Vadlamani, S Agarwal, E Yablonovitch
2019 IEEE SOI-3D-Subthreshold Microelectronics Technology Unified Conference …, 2019
2019
Classical Machines, for Solving the Toughest Problems in Computer Science
E Yablonovitch, TP Xiao, SK Vadlamani
Laser Science, JTu4A. 114, 2019
2019
On the broadening of energy levels in a quantum dot-based tunnel transistor
SK Vadlamani, E Yablonovitch
2017 Fifth Berkeley Symposium on Energy Efficient Electronic Systems & Steep …, 2017
2017
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Artikler 1–20