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
289 2011 Directed information graphs CJ Quinn, N Kiyavash, TP Coleman
IEEE Transactions on information theory 61 (12), 6887-6909, 2015
168 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
87 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
60 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
40 2013 Fingerprinting with equiangular tight frames DG Mixon, CJ Quinn, N Kiyavash, M Fickus
IEEE transactions on information theory 59 (3), 1855-1865, 2013
37 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
32 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
31 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
28 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
26 2017 Equiangular tight frame fingerprinting codes DG Mixon, C Quinn, N Kiyavash, M Fickus
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
16 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
13 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
11 2022 A generalized prediction framework for Granger causality CJ Quinn, TP Coleman, N Kiyavash
2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS …, 2011
10 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
9 2003 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
8 2010 Causal dependence tree approximations of joint distributions for multiple random processes CJ Quinn, TP Coleman, N Kiyavash
arXiv preprint arXiv:1101.5108, 2011
7 2011 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
6 2022 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
5 2023 Stochastic Top- Subset Bandits with Linear Space and Non-Linear Feedback M Agarwal, V Aggarwal, CJ Quinn, AK Umrawal
Algorithmic Learning Theory, 306-339, 2021
5 2021