Theodoros Tsiligkaridis
Theodoros Tsiligkaridis
MIT Lincoln Laboratory
Verified email at ll.mit.edu
Title
Cited by
Cited by
Year
Covariance Estimation in High Dimensions via Kronecker Product Expansions
T Tsiligkaridis, AO Hero III
IEEE Transactions on Signal Processing 61 (21), 5347 - 5360, 2013
1042013
On Convergence of Kronecker Graphical Lasso Algorithms
T Tsiligkaridis, A Hero, S Zhou
IEEE Transactions on Signal Processing 61 (7), 1743 - 1755, 2013
732013
Collaborative 20 Questions for Target Localization
T Tsiligkaridis, B Sadler, A Hero
Information Theory, IEEE Transactions on 60 (4), 2233 - 2252, 2014
632014
Kronecker sum decompositions of space-time data
K Greenewald, T Tsiligkaridis, AO Hero
2013 5th IEEE International Workshop on Computational Advances in Multi …, 2013
252013
PAPR reduction performance by active constellation extension for diversity MIMO-OFDM systems
T Tsiligkaridis, DL Jones
Journal of Electrical and Computer Engineering 2010, 2010
242010
On Decentralized Estimation with Active Queries
T Tsiligkaridis, BM Sadler, AO Hero III
IEEE Transactions on Signal Processing 63 (10), 2610-2622, 2015
232015
Information Aware max-norm Dirichlet networks for predictive uncertainty estimation
T Tsiligkaridis
Neural Networks 135, 105-114, 2021
9*2021
Secure MIMO Communications under Quantized Channel Feedback in the presence of Jamming
T Tsiligkaridis
IEEE Transactions on Signal Processing 62 (23), 6265-6275, 2014
92014
A collaborative 20 questions model for target search with human-machine interaction
T Tsiligkaridis, BM Sadler, AO Hero
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
92013
Distributed probabilistic bisection search using social learning
A Tsiligkaridis, T Tsiligkaridis
Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International …, 2017
52017
Asynchronous decentralized algorithms for the noisy 20 questions problem
T Tsiligkaridis
2016 IEEE International Symposium on Information Theory (ISIT), 2699-2703, 2016
52016
Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models
T Tsiligkaridis, KW Forsythe
Advances in Neural Information Processing Systems (NeurIPS), 2015
52015
Reinforcement Learning with Budget-Constrained Nonparametric Function Approximation for Opportunistic Spectrum Access
T Tsiligkaridis, D Romero
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018
4*2018
A sequential Bayesian inference framework for blind frequency offset estimation
T Tsiligkaridis, KW Forsythe
2015 IEEE 25th International Workshop on Machine Learning for Signal …, 2015
42015
A Difference of Convex Functions Approach to Large-scale Log-linear Model Estimation
T Tsiligkaridis, E Marcheret, V Goel
Audio, Speech, and Language Processing, IEEE Transactions on 21 (11), 2255 …, 2013
42013
Sparse covariance estimation under Kronecker product structure
T Tsiligkaridis, AO Hero
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
42012
Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks
T Tsiligkaridis
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
32021
Kronecker graphical lasso
T Tsiligkaridis, AO Hero, S Zhou
2012 IEEE Statistical Signal Processing Workshop (SSP), 884-887, 2012
32012
Development of a field artificial intelligence triage tool: Confidence in the prediction of shock, transfusion, and definitive surgical therapy in patients with truncal gunshot …
CJ Nederpelt, AK Mokhtari, O Alser, T Tsiligkaridis, J Roberts, M Cha, ...
Journal of Trauma and Acute Care Surgery 90 (6), 1054-1060, 2021
22021
Understanding Frank-Wolfe Adversarial Training
T Tsiligkaridis, J Roberts
arXiv preprint arXiv:2012.12368, 2020
2*2020
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Articles 1–20