Jalal Etesami
Jalal Etesami
Verified email at illinois.edu
Title
Cited by
Cited by
Year
Learning network of multivariate hawkes processes: A time series approach
J Etesami, N Kiyavash, K Zhang, K Singhal
arXiv preprint arXiv:1603.04319, 2016
392016
Online learning for multivariate hawkes processes
Y Yang, J Etesami, N He, N Kiyavash
Proceedings of the 31st International Conference on Neural Information …, 2017
342017
Learning minimal latent directed information polytrees
J Etesami, N Kiyavash, T Coleman
Neural computation 28 (9), 1723-1768, 2016
34*2016
Directed information graphs: A generalization of linear dynamical graphs
J Etesami, N Kiyavash
2014 American Control Conference, 2563-2568, 2014
302014
LDPC code construction for wireless physical-layer key reconciliation
J Etesami, W Henkel
2012 1st IEEE International Conference on Communications in China (ICCC …, 2012
282012
Wasserstein adversarial imitation learning
H Xiao, M Herman, J Wagner, S Ziesche, J Etesami, TH Linh
arXiv preprint arXiv:1906.08113, 2019
172019
Measuring causal relationships in dynamical systems through recovery of functional dependencies
J Etesami, N Kiyavash
IEEE Transactions on Signal and Information Processing over Networks 3 (4 …, 2016
172016
Learning Hawkes processes under synchronization noise
W Trouleau, J Etesami, M Grossglauser, N Kiyavash, P Thiran
International Conference on Machine Learning, 6325-6334, 2019
122019
Econometric modeling of systemic risk: going beyond pairwise comparison and allowing for nonlinearity
J Etesami, A Habibnia, N Kiyavash
Systemic Risk Centre, The London School of Economics and Political Science, 2017
72017
Interventional dependency graphs: An approach for discovering influence structure
J Etesami, N Kiyavash
2016 IEEE International Symposium on Information Theory (ISIT), 1158-1162, 2016
7*2016
Nonparametric hawkes processes: Online estimation and generalization bounds
Y Yang, J Etesami, N He, N Kiyavash
arXiv preprint arXiv:1801.08273, 2018
62018
Optimal attack strategies against predictors-learning from expert advice
A Truong, SR Etesami, J Etesami, N Kiyavash
IEEE Transactions on Information Forensics and Security 13 (1), 6-19, 2017
62017
Identifying nonlinear 1-Step causal influences in presence of latent variables
S Salehkaleybar, J Etesami, N Kiyavash
2017 IEEE International Symposium on Information Theory (ISIT), 1341-1345, 2017
52017
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
52013
LCD codes and iterative decoding by projections, a first step towards an intuitive description of iterative decoding
J Etesami, F Hu, W Henkel
2011 IEEE Global Telecommunications Conference-GLOBECOM 2011, 1-4, 2011
42011
Learning vector autoregressive models with latent processes
S Salehkaleybar, J Etesami, N Kiyavash, K Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
3*2018
A novel collusion attack on finite alphabet digital fingerprinting systems
J Etesami, N Kiyavash
2014 IEEE International Symposium on Information Theory, 2237-2241, 2014
32014
Non-cooperative multi-agent systems with exploring agents
J Etesami, CN Straehle
arXiv preprint arXiv:2005.12360, 2020
22020
Causal transfer for imitation learning and decision making under sensor-shift
J Etesami, P Geiger
Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 10118 …, 2020
22020
A new measure of conditional dependence
J Etesami, K Zhang, N Kiyavash
arXiv preprint arXiv:1704.00607, 2017
22017
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Articles 1–20