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Christopher John Quinn
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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 (1), 17-44, 2011
3272011
Directed information graphs
CJ Quinn, N Kiyavash, TP Coleman
IEEE Transactions on information theory 61 (12), 6887-6909, 2015
1912015
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
982008
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
642016
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
452020
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
412013
Fingerprinting with equiangular tight frames
DG Mixon, CJ Quinn, N Kiyavash, M Fickus
IEEE transactions on information theory 59 (3), 1855-1865, 2013
412013
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
362023
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
362014
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
352017
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
332011
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
282022
Randomized greedy learning for non-monotone stochastic submodular maximization under full-bandit feedback
F Fourati, V Aggarwal, C Quinn, MS Alouini
International Conference on Artificial Intelligence and Statistics, 7455-7471, 2023
202023
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
202019
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
192023
A unified approach for maximizing continuous DR-submodular functions
M Pedramfar, C Quinn, V Aggarwal
Advances in Neural Information Processing Systems 36, 61103-61114, 2023
162023
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
162022
Equiangular tight frame fingerprinting codes
DG Mixon, C Quinn, N Kiyavash, M Fickus
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
162011
Combinatorial stochastic-greedy bandit
F Fourati, CJ Quinn, MS Alouini, V Aggarwal
Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12052 …, 2024
142024
Size-constrained k-submodular maximization in near-linear time
G Nie, Y Zhu, YY Nadew, S Basu, A Pavan, CJ Quinn
Uncertainty in Artificial Intelligence, 1545-1554, 2023
142023
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Articles 1–20