Brian T. Kirby

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 17

Top Topics

Tikhonov Regularization

Machine Learning

State Estimation

Top Venues

Mach. Learn. Sci. Technol.

Publications

Xinzhu Liang, Sanjaya Lohani, Joseph M. Lukens, Brian T. Kirby, Thomas A. Searles, Kody J. H. Law
SMC Is All You Need: Parallel Strong Scaling. CoRR (2024)
Zhihui Zhu, Joseph M. Lukens, Brian T. Kirby
On the connection between least squares, regularization, and classical shadows. CoRR (2023)
Sanjaya Lohani, Sangita Regmi, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby
Dimension-adaptive machine learning-based quantum state reconstruction. Quantum Mach. Intell. 5 (1) (2023)
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
Deep learning for enhanced free-space optical communications. Mach. Learn. Sci. Technol. 4 (4) (2023)
Dashiell L. P. Vitullo, Trevor Cook, Daniel E. Jones, Lisa M. Scott, Brian T. Kirby
Computational Simulation Framework for Tactical Quantum Network Applications. MILCOM (2023)
Sanjaya Lohani, Joseph M. Lukens, Atiyya A. Davis, Amirali Khannejad, Sangita Regmi, Daniel E. Jones, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby
Demonstration of machine-learning-enhanced Bayesian quantum state estimation. CoRR (2022)
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
Deep learning for enhanced free-space optical communications. CoRR (2022)
Changjia Chen, Calvin Xu, Arash Riazi, Eric Y. Zhu, Alexander Greenwood, Alexey V. Gladyshev, Peter G. Kazansky, Brian T. Kirby, Li Qian
Telecom-band Hyperentangled Photon Pairs from a Fiber-based Source. OFC (2022)
Sanjaya Lohani, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby
Data-centric machine learning in quantum information science. Mach. Learn. Sci. Technol. 3 (4) (2022)
Sanjaya Lohani, Sangita Regmi, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby
Dimension-adaptive machine-learning-based quantum state reconstruction. CoRR (2022)
Sanjaya Lohani, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby
Data-Centric Machine Learning in Quantum Information Science. CoRR (2022)
Sanjaya Lohani, Joseph M. Lukens, Daniel E. Jones, Thomas A. Searles, Ryan T. Glasser, Brian T. Kirby
Improving application performance with biased distributions of quantum states. CoRR (2021)
Onur Danaci, Sanjaya Lohani, Brian T. Kirby, Ryan T. Glasser
Machine learning pipeline for quantum state estimation with incomplete measurements. Mach. Learn. Sci. Technol. 2 (3) (2021)
Sanjaya Lohani, Brian T. Kirby, Michael Brodsky, Onur Danaci, Ryan T. Glasser
Machine learning assisted quantum state estimation. Mach. Learn. Sci. Technol. 1 (3) (2020)
Sanjaya Lohani, Thomas A. Searles, Brian T. Kirby, Ryan T. Glasser
On the experimental feasibility of quantum state reconstruction via machine learning. CoRR (2020)
Sanjaya Lohani, Brian T. Kirby, Michael Brodsky, Onur Danaci, Ryan T. Glasser
Machine learning assisted quantum state estimation. CoRR (2020)
Daniel E. Jones, Brian T. Kirby, Michael Brodsky
Polarization Dependent Loss in Optical Fibers - Does it Help or Ruin Photon Entanglement Distribution? OFC (2018)
Brian T. Kirby, Michael P. Ashley-Rollman, Seth Copen Goldstein
Blinky blocks: a physical ensemble programming platform. CHI Extended Abstracts (2011)
Michael Philetus Weller, Brian T. Kirby, H. Benjamin Brown, Mark D. Gross, Seth Copen Goldstein
Design of prismatic cube modules for convex corner traversal in 3D. IROS (2009)
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
Beyond Audio and Video: Using Claytronics to Enable Pario. AI Mag. 30 (2) (2009)
Brian T. Kirby, Burak Aksak, Jason Campbell, James F. Hoburg, Todd C. Mowry, Padmanabhan Pillai, Seth Copen Goldstein
A modular robotic system using magnetic force effectors. IROS (2007)
Brian T. Kirby, Jason Campbell, Burak Aksak, Padmanabhan Pillai, James F. Hoburg, Todd C. Mowry, Seth Copen Goldstein
Catoms: Moving Robots Without Moving Parts. AAAI (2005)
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
Claytronics: highly scalable communications, sensing, and actuation networks. SenSys (2005)