| Physics successfully implements Lagrange multiplier optimization SK Vadlamani, TP Xiao, E Yablonovitch Proceedings of the National Academy of Sciences 117 (43), 26639-26650, 2020 | 68 | 2020 |
| 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 | 15 | 2019 |
| 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 | 13 | 2015 |
| Transferable learning on analog hardware SK Vadlamani, D Englund, R Hamerly Science Advances 9 (28), eadh3436, 2023 | 9 | 2023 |
| 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 | 8 | 2023 |
| 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 | 3 | 2021 |
| Sharp Switching in Tunnel Transistors and Physics-based Machines for Optimization SK Vadlamani University of California, Berkeley, 2021 | 3 | 2021 |
| 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 | 1 | 2022 |
| One-Time Training That Transfers to Arbitrary Highly Faulty Optical Neural Networks SK Vadlamani, R Hamerly, D Englund Frontiers in Optics, FTh1B. 3, 2022 | 1 | 2022 |
| 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 |
Eli Yablonovitch在 eecs.berkeley.edu 的电子邮件经过验证
