Theodoros Tsiligkaridis

发表

Convergence Properties of Kronecker Graphical Lasso Algorithms

A. Hero, Shuheng Zhou, Theodoros Tsiligkaridis, 2013 .

A Difference of Convex Functions Approach to Large-Scale Log-Linear Model Estimation

Vaibhava Goel, Etienne Marcheret, Theodoros Tsiligkaridis, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency

M. Zitnik, Theodoros Tsiligkaridis, Ziyuan Zhao, 2022, ArXiv.

Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble Pseudo-Labeling

B. Kulis, Theodoros Tsiligkaridis, Christopher Liao, 2022, ArXiv.

Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency

M. Zitnik, Theodoros Tsiligkaridis, Xiang Zhang, 2022, NeurIPS.

Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty Calibration

Theodoros Tsiligkaridis, Athanasios Tsiligkaridis, 2021, 2104.01231.

Distributed Optimization of Multi-Beam Directional Communication Networks

Theodoros Tsiligkaridis, Theodoros Tsiligkaridis, 2017, 2018 International Conference on Computing, Networking and Communications (ICNC).

Using the Field Artificial Intelligence Triage (FAIT) tool to predict hospital critical care resource utilization in patients with truncal gunshot wounds.

Theodoros Tsiligkaridis, O. Alser, N. Saillant, 2023, American journal of surgery.

Development of a field artificial intelligence triage tool: Confidence in the prediction of shock, transfusion, and definitive surgical therapy in patients with truncal gunshot wounds

D. King, Theodoros Tsiligkaridis, G. Velmahos, 2021, The journal of trauma and acute care surgery.

Active query-driven visual search using probabilistic bisection and convolutional neural networks pdf

Theodoros Tsiligkaridis, Athanasios Tsiligkaridis, Theodoros Tsiligkaridis, 2018, ArXiv.

On Decentralized Estimation With Active Queries

Alfred O. Hero, Brian M. Sadler, Theodoros Tsiligkaridis, 2013, IEEE Transactions on Signal Processing.

Collaborative 20 Questions for Target Localization

Alfred O. Hero, Brian M. Sadler, Theodoros Tsiligkaridis, 2013, IEEE Transactions on Information Theory.

Graph-Guided Network for Irregularly Sampled Multivariate Time Series

M. Zitnik, Theodoros Tsiligkaridis, Xiang Zhang, 2021, ICLR.

Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks pdf

Theodoros Tsiligkaridis, Theodoros Tsiligkaridis, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

ERM++: An Improved Baseline for Domain Generalization

Bryan A. Plummer, Kate Saenko, Piotr Teterwak, 2023, ArXiv.

On Convergence of Kronecker Graphical Lasso Algorithms

Alfred O. Hero, Shuheng Zhou, Theodoros Tsiligkaridis, 2012, IEEE Transactions on Signal Processing.

High Dimensional Separable Representations for Statistical Estimation and Controlled Sensing

Theodoros Tsiligkaridis, Theodoros Tsiligkaridis, 2014 .

Secure MIMO Communications under Quantized Feedback in the presence of Jamming pdf

Theodoros Tsiligkaridis, Theodoros Tsiligkaridis, 2014, arXiv.org.

Domain Adaptation for Time Series Under Feature and Label Shifts

M. Zitnik, Theodoros Tsiligkaridis, Huan He, 2023, ICML.

Kronecker sum decompositions of space-time data

Alfred O. Hero, Kristjan H. Greenewald, Theodoros Tsiligkaridis, 2013, 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Covariance Estimation in High Dimensions Via Kronecker Product Expansions

Alfred O. Hero, Theodoros Tsiligkaridis, A. Hero, 2013, IEEE Transactions on Signal Processing.

Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization

B. Kulis, Theodoros Tsiligkaridis, Christopher Liao, 2022, ICML.

Supervised Metric Learning for Retrieval via Contextual Similarity Optimization

B. Kulis, Theodoros Tsiligkaridis, Christopher Liao, 2022, ArXiv.

Information Aware max-norm Dirichlet networks for predictive uncertainty estimation

Theodoros Tsiligkaridis, Theodoros Tsiligkaridis, 2019, Neural Networks.

Information Robust Dirichlet Networks for Predictive Uncertainty Estimation

Theodoros Tsiligkaridis, 2019, ArXiv.

Low separation rank covariance estimation using Kronecker product expansions

Alfred O. Hero, Theodoros Tsiligkaridis, A. Hero, 2013, 2013 IEEE International Symposium on Information Theory.

Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration

R. Soklaski, Michael Yee, Theodoros Tsiligkaridis, 2022, ArXiv.

Controllably Sparse Perturbations of Robust Classifiers for Explaining Predictions and Probing Learned Concepts

Theodoros Tsiligkaridis, Jay Roberts, 2021 .

On Frank-Wolfe Optimization for Adversarial Robustness and Interpretability pdf

Theodoros Tsiligkaridis, Jay Roberts, Theodoros Tsiligkaridis, 2020, ArXiv.

On Frank-Wolfe Adversarial Training

Theodoros Tsiligkaridis, Jay Roberts, 2021 .

Kronecker graphical lasso

Alfred O. Hero, Shuheng Zhou, Theodoros Tsiligkaridis, 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).

Fast peak-power reduction for MIMO-OFDM systems with diversity

Theodoros Tsiligkaridis, Theodoros Tsiligkaridis, 2010 .

Secure MIMO Communications Under Quantized Channel Feedback in the Presence of Jamming

Theodoros Tsiligkaridis, Theodoros Tsiligkaridis, 2014, IEEE Transactions on Signal Processing.

A sequential Bayesian inference framework for blind frequency offset estimation

Keith W. Forsythe, Theodoros Tsiligkaridis, K. W. Forsythe, 2015, 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP).

ERM++: An Improved Baseline for Domain Generalization

Bryan A. Plummer, Kate Saenko, Piotr Teterwak, 2023, ArXiv.

Optimal communication jamming rate tradeoff for MIMO communications

Keith W. Forsythe, David W. Browne, Theodoros Tsiligkaridis, 2015, 2015 IEEE Wireless Communications and Networking Conference (WCNC).

Asynchronous decentralized algorithms for the noisy 20 questions problem

Theodoros Tsiligkaridis, Theodoros Tsiligkaridis, 2016, 2016 IEEE International Symposium on Information Theory (ISIT).

Asynchronous Decentralized 20 Questions for Adaptive Search

Theodoros Tsiligkaridis, 2015, ArXiv.

Blind collaborative 20 questions for target localization

Alfred O. Hero, Brian M. Sadler, Theodoros Tsiligkaridis, 2013, 2013 IEEE Global Conference on Signal and Information Processing.

A collaborative 20 questions model for target search with human-machine interaction

Alfred O. Hero, Brian M. Sadler, Theodoros Tsiligkaridis, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Decentralized adaptive search using the noisy 20 questions framework in time-varying networks

Theodoros Tsiligkaridis, Theodoros Tsiligkaridis, 2018, Signal Process..

Robust Fine-Tuning of Vision-Language Models for Domain Generalization

Theodoros Tsiligkaridis, Kevin Vogt-Lowell, Noah Lee, 2023, 2311.02236.

Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency

M. Zitnik, Theodoros Tsiligkaridis, Thomas Hartvigsen, 2023, NeurIPS.

Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training

Theodoros Tsiligkaridis, Jay Roberts, 2020, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Ultrasound Diagnosis of COVID-19: Robustness and Explainability pdf

Theodoros Tsiligkaridis, Jay Roberts, Theodoros Tsiligkaridis, 2020, ArXiv.

Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap

Theodoros Tsiligkaridis, Christopher Liao, Christian So, 2024, 2402.04416.

Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning

Theodoros Tsiligkaridis, Christopher Liao, Brian Kulis, 2023, ArXiv.