Brian T. Kirby

26 papers A* 1A 2Misc 1Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles.
CoRR
Xinzhu Liang, Joseph M. Lukens, Sanjaya Lohani, Brian T. Kirby, Thomas A. Searles, Xin Qiu, Kody J. H. Law
2024 J jnl
An exponential reduction in training data sizes for machine learning derived entanglement witnesses.
Mach. Learn. Sci. Technol.
Aiden R. Rosebush, Alexander Greenwood, Brian T. Kirby, Li Qian
2024 J jnl
On the connection between least squares, regularization, and classical shadows.
Quantum
Zhihui Zhu, Joseph M. Lukens, Brian T. Kirby
2024 J jnl
SMC Is All You Need: Parallel Strong Scaling.
CoRR
Xinzhu Liang, Sanjaya Lohani, Joseph M. Lukens, Brian T. Kirby, Thomas A. Searles, Kody J. H. Law
2023 — conf
Computational Simulation Framework for Tactical Quantum Network Applications.
MILCOM
Dashiell L. P. Vitullo, Trevor Cook, Daniel E. Jones, Lisa M. Scott, Brian T. Kirby
2023 J jnl
Deep learning for enhanced free-space optical communications.
Mach. Learn. Sci. Technol.
Manon P. Bart, Nicholas J. Savino, Paras Regmi, Lior Cohen, Haleh Safavi, Harry C. Shaw, Sanjaya Lohani, Thomas A. Searles, Brian T. Kirby, Hwang Lee, Ryan T. Glasser
2023 J jnl
Dimension-adaptive machine learning-based quantum state reconstruction.
Quantum Mach. Intell.
Sanjaya Lohani, Sangita Regmi, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby
2023 J jnl
On the connection between least squares, regularization, and classical shadows.
CoRR
Zhihui Zhu, Joseph M. Lukens, Brian T. Kirby
2022 J jnl
Data-Centric Machine Learning in Quantum Information Science.
CoRR
Sanjaya Lohani, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby
2022 J jnl
Data-centric machine learning in quantum information science.
Mach. Learn. Sci. Technol.
Sanjaya Lohani, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby
2022 J jnl
Deep learning for enhanced free-space optical communications.
CoRR
Manon P. Bart, Nicholas J. Savino, Paras Regmi, Lior Cohen, Haleh Safavi, Harry C. Shaw, Sanjaya Lohani, Thomas A. Searles, Brian T. Kirby, Hwang Lee, Ryan T. Glasser
2022 J jnl
Demonstration of machine-learning-enhanced Bayesian quantum state estimation.
CoRR
Sanjaya Lohani, Joseph M. Lukens, Atiyya A. Davis, Amirali Khannejad, Sangita Regmi, Daniel E. Jones, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby
2022 J jnl
Dimension-adaptive machine-learning-based quantum state reconstruction.
CoRR
Sanjaya Lohani, Sangita Regmi, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby
2022 — conf
Telecom-band Hyperentangled Photon Pairs from a Fiber-based Source.
OFC
Changjia Chen, Calvin Xu, Arash Riazi, Eric Y. Zhu, Alexander Greenwood, Alexey V. Gladyshev, Peter G. Kazansky, Brian T. Kirby, Li Qian
2021 J jnl
Improving application performance with biased distributions of quantum states.
CoRR
Sanjaya Lohani, Joseph M. Lukens, Daniel E. Jones, Thomas A. Searles, Ryan T. Glasser, Brian T. Kirby
2021 J jnl
Machine learning pipeline for quantum state estimation with incomplete measurements.
Mach. Learn. Sci. Technol.
Onur Danaci, Sanjaya Lohani, Brian T. Kirby, Ryan T. Glasser
2020 J jnl
Machine learning assisted quantum state estimation.
CoRR
Sanjaya Lohani, Brian T. Kirby, Michael Brodsky, Onur Danaci, Ryan T. Glasser
2020 J jnl
Machine learning assisted quantum state estimation.
Mach. Learn. Sci. Technol.
Sanjaya Lohani, Brian T. Kirby, Michael Brodsky, Onur Danaci, Ryan T. Glasser
2020 J jnl
On the experimental feasibility of quantum state reconstruction via machine learning.
CoRR
Sanjaya Lohani, Thomas A. Searles, Brian T. Kirby, Ryan T. Glasser
2018 — conf
Polarization Dependent Loss in Optical Fibers - Does it Help or Ruin Photon Entanglement Distribution?
OFC
Daniel E. Jones, Brian T. Kirby, Michael Brodsky
2011 — conf
Blinky blocks: a physical ensemble programming platform.
CHI Extended Abstracts
Brian T. Kirby, Michael P. Ashley-Rollman, Seth Copen Goldstein
2009 J jnl
Beyond Audio and Video: Using Claytronics to Enable Pario.
AI Mag.
Seth Copen Goldstein, Todd C. Mowry, Jason Campbell, Michael P. Ashley-Rollman, Michael DeRosa, Stanislav Funiak, James F. Hoburg, Mustafa Emre Karagozler, Brian T. Kirby, Peter Lee, Padmanabhan Pillai, James Robert Reid, Daniel D. Stancil, Michael Philetus Weller
2009 A conf
Design of prismatic cube modules for convex corner traversal in 3D.
IROS
Michael Philetus Weller, Brian T. Kirby, H. Benjamin Brown, Mark D. Gross, Seth Copen Goldstein
2007 A conf
A modular robotic system using magnetic force effectors.
IROS
Brian T. Kirby, Burak Aksak, Jason Campbell, James F. Hoburg, Todd C. Mowry, Padmanabhan Pillai, Seth Copen Goldstein
2005 A* conf
Catoms: Moving Robots Without Moving Parts.
AAAI
Brian T. Kirby, Jason Campbell, Burak Aksak, Padmanabhan Pillai, James F. Hoburg, Todd C. Mowry, Seth Copen Goldstein
2005 Misc conf
Claytronics: highly scalable communications, sensing, and actuation networks.
SenSys
Burak Aksak, Preethi Srinivas Bhat, Jason Campbell, Michael DeRosa, Stanislav Funiak, Phillip B. Gibbons, Seth Copen Goldstein, Carlos Guestrin, Ashish Gupta, Casey Helfrich, James F. Hoburg, Brian T. Kirby, James Kuffner, Peter Lee, Todd C. Mowry, Padmanabhan Pillai, Ram Ravichandran, Benjamin D. Rister, Srinivasan Seshan, Metin Sitti, Haifeng Yu