Christopher John Quinn
Cited by
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Estimating the directed information to infer causal relationships in ensemble neural spike train recordings
CJ Quinn, TP Coleman, N Kiyavash, NG Hatsopoulos
Journal of computational neuroscience 30, 17-44, 2011
Directed information graphs
CJ Quinn, N Kiyavash, TP Coleman
IEEE Transactions on information theory 61 (12), 6887-6909, 2015
Design, fabrication and analysis of a body-caudal fin propulsion system for a microrobotic fish
KJ Cho, E Hawkes, C Quinn, RJ Wood
2008 IEEE international Conference on Robotics and Automation, 706-711, 2008
Crowdsourcing high quality labels with a tight budget
Q Li, F Ma, J Gao, L Su, CJ Quinn
Proceedings of the ninth acm international conference on web search and data …, 2016
Efficient methods to compute optimal tree approximations of directed information graphs
CJ Quinn, N Kiyavash, TP Coleman
IEEE Transactions on Signal Processing 61 (12), 3173-3182, 2013
Fingerprinting with equiangular tight frames
DG Mixon, CJ Quinn, N Kiyavash, M Fickus
IEEE transactions on information theory 59 (3), 1855-1865, 2013
Dynamic and succinct statistical analysis of neuroscience data
S Kim, CJ Quinn, N Kiyavash, TP Coleman
Proceedings of the IEEE 102 (5), 683-698, 2014
Equivalence between minimal generative model graphs and directed information graphs
CJ Quinn, N Kiyavash, TP Coleman
2011 IEEE International Symposium on Information Theory Proceedings, 293-297, 2011
Visual experience-dependent oscillations and underlying circuit connectivity changes are impaired in Fmr1 KO mice
ST Kissinger, Q Wu, CJ Quinn, AK Anderson, A Pak, AA Chubykin
Cell reports 31 (1), 2020
Combining human and machine intelligence to derive agents’ behavioral rules for groundwater irrigation
Y Hu, CJ Quinn, X Cai, NW Garfinkle
Advances in water resources 109, 29-40, 2017
Equiangular tight frame fingerprinting codes
DG Mixon, C Quinn, N Kiyavash, M Fickus
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
A measure of synergy, redundancy, and unique information using information geometry
X Niu, CJ Quinn
2019 IEEE International Symposium on Information Theory (ISIT), 3127-3131, 2019
An explore-then-commit algorithm for submodular maximization under full-bandit feedback
G Nie, M Agarwal, AK Umrawal, V Aggarwal, CJ Quinn
Uncertainty in Artificial Intelligence, 1541-1551, 2022
A community-aware framework for social influence maximization
AK Umrawal, CJ Quinn, V Aggarwal
IEEE Transactions on Emerging Topics in Computational Intelligence 7 (4 …, 2023
A generalized prediction framework for Granger causality
CJ Quinn, TP Coleman, N Kiyavash
2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS …, 2011
Taking it from the top: The growth and care of genres
CJ Quinn
Acts of reading: Exploring connections in pedagogy of Japanese, 38-60, 2003
Stochastic Top K-Subset Bandits with Linear Space and Non-Linear Feedback with Applications to Social Influence Maximization
M Agarwal, V Aggarwal, AK Umrawal, CJ Quinn
ACM/IMS Transactions on Data Science (TDS) 2 (4), 1-39, 2022
Approximating discrete probability distributions with causal dependence trees
CJ Quinn, TP Coleman, N Kiyavash
2010 International Symposium On Information Theory & Its Applications, 100-105, 2010
A framework for adapting offline algorithms to solve combinatorial multi-armed bandit problems with bandit feedback
G Nie, YY Nadew, Y Zhu, V Aggarwal, CJ Quinn
International Conference on Machine Learning, 26166-26198, 2023
Dart: Adaptive accept reject algorithm for non-linear combinatorial bandits
M Agarwal, V Aggarwal, AK Umrawal, C Quinn
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 6557-6565, 2021
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