Sri Krishna Vadlamani

According to our database, Sri Krishna Vadlamani authored at least 17 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Improved differential evolution based feature selection through chaos, quantum, and lasso logistic regression.

Yelleti Vivek, Sri Krishna Vadlamani, Vadlamani Ravi, P. Radha Krishna

Quantum Mach. Intell., June, 2026

2025

Machine Intelligence on Wireless Edge Networks.

Sri Krishna Vadlamani, Kfir Sulimany, Zhihui Gao, Tingjun Chen, Dirk R. Englund

CoRR, June, 2025

Disaggregated Deep Learning via In-Physics Computing at Radio Frequency.

Zhihui Gao, Sri Krishna Vadlamani, Kfir Sulimany, Dirk R. Englund, Tingjun Chen

CoRR, April, 2025

Quantum-Secure Deep Learning in Optical Networks.

Kfir Sulimany, Sri Krishna Vadlamani, Ryan Hamerly, Prahlad Iyengar, Dirk R. Englund

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2025

Optical QAM Neural Networks for Efficient AI Accelerators.

Marc Gong Bacvanski, Sri Krishna Vadlamani, Kfir Sulimany, Dirk Robert Englund

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2025

Circuits that Solve Optimization Problems by Exploiting Physics Inequalities.

Eli Yablonovitch, Qixin Feng, Sri Krishna Vadlamani, T. Patrick Xiao

Proceedings of the IEEE International Solid-State Circuits Conference, 2025

2024

QAMNet: Fast and Efficient Optical QAM Neural Networks.

Marc Gong Bacvanski, Sri Krishna Vadlamani, Kfir Sulimany, Dirk Robert Englund

CoRR, 2024

Improved Differential Evolution based Feature Selection through Quantum, Chaos, and Lasso.

Yelleti Vivek, Sri Krishna Vadlamani, Vadlamani Ravi, P. Radha Krishna

CoRR, 2024

Towards the Information-Theoretic Limit of Programmable Photonics.

Ryan Hamerly, Jasvith Raj Basani, Alexander Sludds, Sri Krishna Vadlamani, Dirk R. Englund

CoRR, 2024

Quantum-secure multiparty deep learning.

Kfir Sulimany, Sri Krishna Vadlamani, Ryan Hamerly, Prahlad Iyengar, Dirk R. Englund

CoRR, 2024

2022

Transferable Learning on Analog Hardware.

Sri Krishna Vadlamani, Dirk R. Englund, Ryan Hamerly

CoRR, 2022

A Self-Similar Sine-Cosine Fractal Architecture for Multiport Interferometers.

Jasvith Raj Basani, Sri Krishna Vadlamani, Saumil Bandyopadhyay, Dirk R. Englund, Ryan Hamerly

CoRR, 2022

Equivalence of coupled parametric oscillator dynamics to Lagrange multiplier primal-dual optimization.

Sri Krishna Vadlamani, Tianyao Patrick Xiao, Eli Yablonovitch

CoRR, 2022

Equivalence of Coupled Parametric Oscillator Dynamics to Lagrange Multiplier Optimization.

Sri Krishna Vadlamani, Tianyao Patrick Xiao, Eli Yablonovitch

Proceedings of the IEEE International Conference on Rebooting Computing, 2022

2021

Sharp Switching in Tunnel Transistors and Physics-based Machines for Optimization.

Sri Krishna Vadlamani

PhD thesis, 2021

2020

Physics successfully implements Lagrange multiplier optimization.

Sri Krishna Vadlamani, Tianyao Patrick Xiao, Eli Yablonovitch

Proc. Natl. Acad. Sci. USA, 2020

Tunnel-FET Switching Is Governed by Non-Lorentzian Spectral Line Shape.

Sri Krishna Vadlamani, Sapan Agarwal, David T. Limmer, Steven G. Louie, Felix R. Fischer, Eli Yablonovitch

Proc. IEEE, 2020