Theodoros Tsiligkaridis

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 47

Top Topics

Gaussian Smoothing

Multimodal Data

Reinforcement Learning

Metric Learning

Top Venues

IEEE Trans. Signal Process.

Publications

Shanghua Gao, Teddy Koker, Owen Queen, Thomas Hartvigsen, Theodoros Tsiligkaridis, Marinka Zitnik
UniTS: Building a Unified Time Series Model. CoRR (2024)
Eric Yang Yu, Christopher Liao, Sathvik Ravi, Theodoros Tsiligkaridis, Brian Kulis
Image-Caption Encoding for Improving Zero-Shot Generalization. CoRR (2024)
Laura Niss, Kevin Vogt-Lowell, Theodoros Tsiligkaridis
Quantified Task Misalignment to Inform PEFT: An Exploration of Domain Generalization and Catastrophic Forgetting in CLIP. CoRR (2024)
Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis
A Data Centric Approach for Unsupervised Domain Generalization via Retrieval from Web Scale Multimodal Data. CoRR (2024)
Laura Niss, Kevin Vogt-Lowell, Theodoros Tsiligkaridis
Zero-Shot Embeddings Inform Learning and Forgetting with Vision-Language Encoders. CoRR (2024)
Kevin Vogt-Lowell, Noah Lee, Theodoros Tsiligkaridis, Marc Vaillant
Robust Fine-Tuning of Vision-Language Models for Domain Generalization. CoRR (2023)
Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis
Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization. ICML (2023)
Theodoros Tsiligkaridis, Athanasios Tsiligkaridis
Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty Calibration. IJCNN (2023)
Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Kate Saenko, Bryan A. Plummer
ERM++: An Improved Baseline for Domain Generalization. CoRR (2023)
Kevin Vogt-Lowell, Noah Lee, Theodoros Tsiligkaridis, Marc Vaillant
Robust Fine-Tuning of Vision-Language Models for Domain Generalization. HPEC (2023)
Owen Queen, Tom Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency. NeurIPS (2023)
Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik
Domain Adaptation for Time Series Under Feature and Label Shifts. CoRR (2023)
Owen Queen, Thomas Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency. CoRR (2023)
Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik
Domain Adaptation for Time Series Under Feature and Label Shifts. ICML (2023)
Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning. CoRR (2023)
Xiang Zhang, Marko Zeman, Theodoros Tsiligkaridis, Marinka Zitnik
Graph-Guided Network for Irregularly Sampled Multivariate Time Series. ICLR (2022)
Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis
Supervised Metric Learning for Retrieval via Contextual Similarity Optimization. CoRR (2022)
Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency. CoRR (2022)
Theodoros Tsiligkaridis, Jay Roberts
Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training. CVPR (2022)
Ryan Soklaski, Michael Yee, Theodoros Tsiligkaridis
Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration. CoRR (2022)
Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency. NeurIPS (2022)
Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis
Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble Pseudo-Labeling. CoRR (2022)
Jay Roberts, Theodoros Tsiligkaridis
Controllably Sparse Perturbations of Robust Classifiers for Explaining Predictions and Probing Learned Concepts. MLVis@EuroVis (2021)
Athanasios Tsiligkaridis, Theodoros Tsiligkaridis
Misclassification-Aware Gaussian Smoothing improves Robustness against Domain Shifts. CoRR (2021)
Xiang Zhang, Marko Zeman, Theodoros Tsiligkaridis, Marinka Zitnik
Graph-Guided Network for Irregularly Sampled Multivariate Time Series. CoRR (2021)
Theodoros Tsiligkaridis
Information Aware max-norm Dirichlet networks for predictive uncertainty estimation. Neural Networks 135 (2021)
Theodoros Tsiligkaridis
Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks. ICASSP (2021)
Theodoros Tsiligkaridis, Jennifer Sloboda
A Multi-task LSTM Framework for Improved Early Sepsis Prediction. AIME (2020)
Theodoros Tsiligkaridis, Jay Roberts
Second Order Optimization for Adversarial Robustness and Interpretability. CoRR (2020)
Theodoros Tsiligkaridis, Jay Roberts
On Frank-Wolfe Optimization for Adversarial Robustness and Interpretability. CoRR (2020)
Theodoros Tsiligkaridis
Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks. CoRR (2020)
Jay Roberts, Theodoros Tsiligkaridis
Ultrasound Diagnosis of COVID-19: Robustness and Explainability. CoRR (2020)
Theodoros Tsiligkaridis
Information Robust Dirichlet Networks for Predictive Uncertainty Estimation. CoRR (2019)
Theodoros Tsiligkaridis, David Romero
Reinforcement Learning with Budget-Constrained Nonparametric Function Approximation for Opportunistic Spectrum Access. GlobalSIP (2018)
Theodoros Tsiligkaridis
Decentralized adaptive search using the noisy 20 questions framework in time-varying networks. Signal Process. 142 (2018)
Theodoros Tsiligkaridis
Distributed Optimization of Multi-Beam Directional Communication Networks. ICNC (2018)
Athanasios Tsiligkaridis, Theodoros Tsiligkaridis
Distributed probabilistic bisection search using social learning. ICASSP (2017)
David A. Castañón, Theodoros Tsiligkaridis, Alfred O. Hero III
Corrections to "On Decentralized Estimation With Active Queries". IEEE Trans. Signal Process. 65 (18) (2017)
Theodoros Tsiligkaridis
Performance Bounds on the Security of Transform-Based Analog Encryption. WCNC (2017)
Theodoros Tsiligkaridis, David Romero
Accelerated Reinforcement Learning Algorithms with Nonparametric Function Approximation for Opportunistic Spectrum Access. CoRR (2017)
Theodoros Tsiligkaridis
Asynchronous decentralized algorithms for the noisy 20 questions problem. ISIT (2016)
Athanasios Tsiligkaridis, Theodoros Tsiligkaridis
Distributed Probabilistic Bisection Search using Social Learning. CoRR (2016)
Theodoros Tsiligkaridis, Keith W. Forsythe
Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models. NIPS (2015)
Theodoros Tsiligkaridis, Keith W. Forsythe, David W. Browne
Optimal communication jamming rate tradeoff for MIMO communications. WCNC (2015)
Theodoros Tsiligkaridis
Asynchronous Decentralized 20 Questions for Adaptive Search. CoRR (2015)
Theodoros Tsiligkaridis, Keith W. Forsythe
A sequential Bayesian inference framework for blind frequency offset estimation. MLSP (2015)
Theodoros Tsiligkaridis, Brian M. Sadler, Alfred O. Hero III
On Decentralized Estimation With Active Queries. IEEE Trans. Signal Process. 63 (10) (2015)
Theodoros Tsiligkaridis, Keith W. Forsythe
Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models. CoRR (2014)
Theodoros Tsiligkaridis
Secure MIMO Communications under Quantized Feedback in the presence of Jamming. CoRR (2014)
Theodoros Tsiligkaridis, Brian M. Sadler, Alfred O. Hero III
Collaborative 20 Questions for Target Localization. IEEE Trans. Inf. Theory 60 (4) (2014)
Theodoros Tsiligkaridis
Secure MIMO Communications Under Quantized Channel Feedback in the Presence of Jamming. IEEE Trans. Signal Process. 62 (23) (2014)
Theodoros Tsiligkaridis, Alfred O. Hero III, Shuheng Zhou
On Convergence of Kronecker Graphical Lasso Algorithms. IEEE Trans. Signal Process. 61 (7) (2013)
Theodoros Tsiligkaridis, Brian M. Sadler, Alfred O. Hero III
Blind collaborative 20 questions for target localization. GlobalSIP (2013)
Theodoros Tsiligkaridis, Alfred O. Hero III
Covariance Estimation in High Dimensions Via Kronecker Product Expansions. IEEE Trans. Signal Process. 61 (21) (2013)
Theodoros Tsiligkaridis, Brian M. Sadler, Alfred O. Hero III
On Decentralized Estimation with Active Queries. CoRR (2013)
Theodoros Tsiligkaridis, Alfred O. Hero III
Low separation rank covariance estimation using Kronecker product expansions. ISIT (2013)
Theodoros Tsiligkaridis, Brian M. Sadler, Alfred O. Hero III
A collaborative 20 questions model for target search with human-machine interaction. ICASSP (2013)
Kristjan H. Greenewald, Theodoros Tsiligkaridis, Alfred O. Hero III
Kronecker sum decompositions of space-time data. CAMSAP (2013)
Theodoros Tsiligkaridis, Etienne Marcheret, Vaibhava Goel
A Difference of Convex Functions Approach to Large-Scale Log-Linear Model Estimation. IEEE Trans. Speech Audio Process. 21 (11) (2013)
Theodoros Tsiligkaridis, Brian M. Sadler, Alfred O. Hero III
Collaborative 20 Questions for Target Localization. CoRR (2013)
Theodoros Tsiligkaridis, Alfred O. Hero III, Shuheng Zhou
Kronecker graphical lasso. SSP (2012)
Theodoros Tsiligkaridis, Alfred O. Hero III
Sparse covariance estimation under Kronecker product structure. ICASSP (2012)
Theodoros Tsiligkaridis, Douglas L. Jones
PAPR Reduction Performance by Active Constellation Extension for Diversity MIMO-OFDM Systems. J. Electr. Comput. Eng. 2010 (2010)