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 | 230 | 2011 |
Directed information graphs CJ Quinn, N Kiyavash, TP Coleman IEEE Transactions on information theory 61 (12), 6887-6909, 2015 | 118 | 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 | 75 | 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 | 46 | 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 | 31 | 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 | 29 | 2014 |
Fingerprinting with equiangular tight frames DG Mixon, CJ Quinn, N Kiyavash, M Fickus IEEE Transactions on Information Theory 59 (3), 1855-1865, 2013 | 27 | 2013 |
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 | 25 | 2011 |
Equiangular tight frame fingerprinting codes DG Mixon, C Quinn, N Kiyavash, M Fickus 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 15 | 2011 |
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 | 10 | 2017 |
A generalized prediction framework for Granger causality CJ Quinn, TP Coleman, N Kiyavash 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS …, 2011 | 9 | 2011 |
Causal dependence tree approximations of joint distributions for multiple random processes CJ Quinn, TP Coleman, N Kiyavash arXiv preprint arXiv:1101.5108, 2011 | 6 | 2011 |
Robust directed tree approximations for networks of stochastic processes CJ Quinn, J Etesami, N Kiyavash, TP Coleman 2013 IEEE International Symposium on Information Theory, 2254-2258, 2013 | 5 | 2013 |
Sparse approximations of directed information graphs CJ Quinn, A Pinar, J Gao, L Su 2016 IEEE International Symposium on Information Theory (ISIT), 1735-1739, 2016 | 3 | 2016 |
Bounded degree approximations of stochastic networks CJ Quinn, A Pinar, N Kiyavash arXiv preprint arXiv:1506.04767, 2015 | 3 | 2015 |
Optimal bounded-degree approximations of joint distributions of networks of stochastic processes CJ Quinn, A Pinar, N Kiyavash 2013 IEEE International Symposium on Information Theory, 2264-2268, 2013 | 3 | 2013 |
A minimal approach to causal inference on topologies with bounded indegree C Quinn, N Kiyavash, T Coleman 2011 50th IEEE Conference on Decision and Control and European Control …, 2011 | 3 | 2011 |
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 | 3 | 2010 |
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), 107486, 2020 | 2 | 2020 |
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 | 2 | 2019 |