Publications
Conferences & Workshops
UniTS: Building a Unified Time Series Model
Shanghua Gao, Teddy Koker, Owen Queen, Thomas Hartvigsen, Theodoros Tsiligkaridis, and Marinka Zitnik
Preprint
[arXiv] [code] [website]
A Data Centric Approach for Unsupervised Domain Generalization via Retrieval from Web Scale Multimodal Data
Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis
Preprint
[arXiv] [code]
Image-Caption Encoding for Improving Zero-Shot Generalization
Eric Yang Yu, Christopher Liao, Sathvik Ravi, Theodoros Tsiligkaridis, Brian Kulis
Preprint
[arXiv] [code]
Quantified Task Misalignment to Inform PEFT: An Exploration of Domain Generalization and Catastrophic Forgetting in CLIP
Laura Niss, Kevin Vogt-Lowell, Theodoros Tsiligkaridis
ICLR 2024 Workshop on Mathematical and Empirical Understanding of Foundation Models
[arXiv]
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning
Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis
IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 (acceptance rate 23.6%)
[arXiv] [code]
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency
Owen Queen, Thomas Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik
Conference on Neural Information Processing Systems, NeurIPS 2023, Spotlight (top 3%) (acceptance rate 26.1%)
[arXiv] [code] [website]
Robust Fine-Tuning of Vision-Language Models for Domain Generalization
Kevin Vogt-Lowell, Noah Lee, Theodoros Tsiligkaridis, Marc Vaillant
IEEE High Performance Extreme Computing Conference, HPEC 2023
[pdf] [arXiv] [code]
ERM++: An Improved Baseline for Domain Generalization
Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Kate Saenko, Bryan A. Plummer
ICML 2023 Workshop on Spurious Correlations, Invariance and Stability
[arXiv] [code]
Domain Adaptation for Time Series under Feature and Label Shifts
Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik
International Conference on Machine Learning, ICML 2023 (acceptance rate 27.9%)
[pdf] [arXiv] [code] [website]
Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization
Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis
International Conference on Machine Learning, ICML 2023 (acceptance rate 27.9%)
[pdf] [arXiv] [code]
Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty Calibration
Theodoros Tsiligkaridis, Athanasios Tsiligkaridis
International Joint Conference on Neural Networks, IJCNN 2023
[pdf] [arXiv] [code]
Self-Supervised Contrastive Pre-Training for Time Series via Time-Frequency Consistency
Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik
Conference on Neural Information Processing Systems, NeurIPS 2022 (acceptance rate 25.6%)
[pdf] [arXiv] [code] [website]
Understanding and Improving Efficiency of Frank-Wolfe Adversarial Training
Theodoros Tsiligkaridis, Jay Roberts
IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022 (acceptance rate 25.3%)
[pdf] [suppl] [arXiv] [code]
Graph-Guided Network for Irregularly Sampled Multivariate Time Series
Xiang Zhang, Marko Zeman, Theodoros Tsiligkaridis, Marinka Zitnik
International Conference on Learning Representations, ICLR 2022 (acceptance rate 32.9%)
[pdf] [arXiv] [code] [website]
Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration
Ryan Soklaski, Michael Yee, Theodoros Tsiligkaridis
NeurIPS 2021 Workshop on Distribution Shifts
[pdf]
On Misclassification-Aware Smoothing for Robustness and Uncertainty Calibration
Theodoros Tsiligkaridis, Athanasios Tsiligkaridis
ICML 2021 Workshop on Uncertainty and Robustness in Deep Learning
[pdf]
On Frank-Wolfe Adversarial Training
Theodoros Tsiligkaridis, Jay Roberts
ICML 2021 Workshop on Adversarial Machine Learning
[pdf]
Controllably Sparse Perturbations of Robust Classifiers for Explaining Predictions and Probing Learned Concepts
Jay Roberts, Theodoros Tsiligkaridis
International Workshop on Machine Learning in Visualization for Big Data, MLVis 2021
[pdf] [code]
Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks
Theodoros Tsiligkaridis
IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2021 (acceptance rate 48%)
[pdf] [arXiv]
Ultrasound Diagnosis of COVID-19: Robustness and Explainability
Jay Roberts, Theodoros Tsiligkaridis
NeurIPS 2020 Medical Imaging meets NeurIPS Workshop
[pdf] [arXiv]
A Multi-Task LSTM Framework for Improved Early Sepsis Prediction
Theodoros Tsiligkaridis, Jennifer Sloboda
International Conference on Artificial Intelligence in Medicine, AIME 2020
[pdf]
Detection of Adversarial Attacks via Information Robust Dirichlet Networks
Theodoros Tsiligkaridis
ECAI 2020 Workshop on Robustness of AI Systems against Adversarial Attacks
[pdf]
Reinforcement Learning with Budget-Constrained Nonparametric Function Approximation for Opportunistic Spectrum Access
Theodoros Tsiligkaridis, David Romero
IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018
[pdf] [arXiv]
Distributed Optimization of Multi-Beam Directional Communication Networks
Theodoros Tsiligkaridis
IEEE International Conference on Computing, Networking and Communications, ICNC 2018 (acceptance rate 26%)
[pdf] [arXiv]
Performance Bounds on the Security of Transform-based Analog Encryption
Theodoros Tsiligkaridis
IEEE Wireless Communication and Networking Conference, WCNC 2017
[pdf]
Distributed Probabilistic Bisection Search using Social Learning
Athanasios Tsiligkaridis, Theodoros Tsiligkaridis
IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017 (acceptance rate 52%)
[pdf] [arXiv]
Asynchronous Decentralized Algorithms for the Noisy 20 Questions Problem
Theodoros Tsiligkaridis
IEEE International Symposium on Information Theory, ISIT 2016
[pdf]
Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models
Theodoros Tsiligkaridis, Keith W. Forsythe
Advances in Neural Information Processing Systems, NIPS 2015 (acceptance rate 21.9%)
[pdf] [suppl] [arXiv]
A Sequential Bayesian Inference Framework for Blind Frequency Offset Estimation
Theodoros Tsiligkaridis, Keith W. Forsythe
IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2015 (Best paper award finalist)
[pdf]
Optimal Communication Jamming Rate Tradeoff for MIMO Communications
Theodoros Tsiligkaridis, Keith W. Forsythe, David W. Browne
IEEE Wireless Communications and Networking Conference, WCNC 2015
[pdf]
Kronecker Sum Decompositions of Space-Time Data
Kristjan Greenewald, Theodoros Tsiligkaridis, Alfred O. Hero III
IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013
[pdf] [arXiv] [code]
Blind Collaborative 20 Questions for Target Localization
Theodoros Tsiligkaridis, Brian M. Sadler, Alfred O. Hero III
IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013
[pdf]
Low Separation Rank Covariance Estimation using Kronecker Product Expansions
Theodoros Tsiligkaridis, Alfred O. Hero III
IEEE International Symposium on Information Theory, ISIT 2013
[pdf]
A Collaborative 20 Questions Model for Target Search with Human-Machine Interaction
Theodoros Tsiligkaridis, Brian M. Sadler, Alfred O. Hero III
IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2013 (acceptance rate 52%)
[pdf]
Exploiting Convexity for Large-scale Log-linear Model Estimation
Theodoros Tsiligkaridis, Etienne Marcheret, Vaibhava Goel
NIPS 2012 Workshop on Log-Linear Models
[pdf]
Kronecker Graphical Lasso
Theodoros Tsiligkaridis, Alfred O. Hero III, Shuheng Zhou
IEEE Statistical Signal Processing Workshop, SSP 2012
[pdf]
Sparse covariance estimation under Kronecker product structure
Theodoros Tsiligkaridis, Alfred O. Hero III
IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2012
[pdf]
Journals
Using the Field Artificial Intelligence Triage (FAIT) tool to predict hospital critical care resource utilization in patients with truncal gunshot wounds
Osaid Alser, Ander Dorken-Gallastegi, Jefferson A. Proano-Zamudio, Charlie Nederpelt, Ava K. Mokhtari, Hassan Mashbari, Theodoros Tsiligkaridis, Noelle N. Saillant
The American Journal of Surgery, March 2023
[pdf]
Development of the Field Artificial Intelligence Triage Tool: Confidence in Prediction of Shock, Transfusion and Surgical Requirement in Patients with Truncal Gunshot Wounds
Charlie J. Nederpelt, Ava K. Mokhtari, Osaid Alser, Theodoros Tsiligkaridis, Jay Roberts, Miriam Cha, Jason A. Fawley, Jonathan J. Parks, April E. Mendoza, Peter J. Fagenholz, Haytham M. A. Kaafarani, David R. King, George C. Velmahos, Noelle Saillant
Journal of Trauma and Acute Care Surgery, June 2021
[pdf]
Information Aware Max-Norm Dirichlet Networks for Predictive Uncertainty Estimation
Theodoros Tsiligkaridis
Neural Networks, March 2021
[pdf] [arXiv]
Decentralized Adaptive Search using the Noisy 20 Questions Framework on Asynchronous Networks
Theodoros Tsiligkaridis
Signal Processing, January 2018
[pdf] [arXiv]
On Decentralized Estimation with Active Queries
Theodoros Tsiligkaridis, Brian M. Sadler, Alfred O. Hero III
IEEE Transactions on Signal Processing, May 2015
[pdf] [arXiv]
Secure MIMO Communications under Quantized Feedback in the presence of Jamming
Theodoros Tsiligkaridis
IEEE Transactions on Signal Processing, December 2014
[pdf]
Collaborative 20 Questions for Target Localization
Theodoros Tsiligkaridis, Brian M. Sadler, Alfred O. Hero III
IEEE Transactions on Information Theory, April 2014
[pdf] [arXiv]
A Difference of Convex Functions Approach to Large-scale Log-linear Model Estimation
Theodoros Tsiligkaridis, Etienne Marcheret, Vaibhava Goel
IEEE Transactions on Audio, Speech and Language Processing, November 2013
[pdf]
Covariance Estimation in High Dimensions via Kronecker Product Expansions
Theodoros Tsiligkaridis, Alfred O. Hero III
IEEE Transactions on Signal Processing, November 2013
[pdf] [arXiv] [code]
On Convergence of Kronecker Graphical Lasso Algorithms
Theodoros Tsiligkaridis, Alfred O. Hero III, Shuheng Zhou
IEEE Transactions on Signal Processing, April 2013
[pdf] [arXiv] [code]
PAPR Reduction Performance by Active Constellation Extension for Diversity MIMO-OFDM systems
Theodoros Tsiligkaridis, Douglas L. Jones
Journal of Electrical and Computer Engineering, 2010
[pdf]