Theodoros Tsiligkaridis

74 papers A* 10A 2B 6Misc 5Journal 43Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Time Series Reasoning via Segment Selection. CoRR Shvat Messica, Jiawen Zhang, Kevin Li, Theodoros Tsiligkaridis, Marinka Zitnik
2026	J	`jnl`	When Sensors Fail: Temporal Sequence Models for Robust PPO under Sensor Drift. CoRR Kevin Vogt-Lowell, Theodoros Tsiligkaridis, Rodney S. Lafuente Mercado, Surabhi Ghatti, Shanghua Gao, Marinka Zitnik, Daniela Rus
2025	J	`jnl`	Democratizing AI scientists using ToolUniverse. CoRR Shanghua Gao, Richard Zhu, Pengwei Sui, Zhenglun Kong, Sufian Aldogom, Yepeng Huang, Ayush Noori, Reza Shamji, Krishna Parvataneni, Theodoros Tsiligkaridis, Marinka Zitnik
2025	A	`conf`	ERM++: An Improved Baseline for Domain Generalization. WACV Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Kate Saenko, Bryan A. Plummer
2025	A	`conf`	Image-Caption Encoding for Improving Zero-Shot Generalization. WACV Eric Yang Yu, Christopher Liao, Sathvik Ravi, Theodoros Tsiligkaridis, Brian Kulis
2025	A*	`conf`	Is Large-scale Pretraining the Secret to Good Domain Generalization? ICLR Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Bryan A. Plummer, Kate Saenko
2025	A*	`conf`	Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap. ICLR Christopher Liao, Christian So, Theodoros Tsiligkaridis, Brian Kulis
2025	J	`jnl`	TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools. CoRR Shanghua Gao, Richard Zhu, Zhenglun Kong, Ayush Noori, Xiao-Rui Su, Curtis Ginder, Theodoros Tsiligkaridis, Marinka Zitnik
2024	J	`jnl`	A Data Centric Approach for Unsupervised Domain Generalization via Retrieval from Web Scale Multimodal Data. CoRR Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis
2024	A*	`conf`	Descriptor and Word Soups Q: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning. CVPR Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis
2024	J	`jnl`	Image-Caption Encoding for Improving Zero-Shot Generalization. CoRR Eric Yang Yu, Christopher Liao, Sathvik Ravi, Theodoros Tsiligkaridis, Brian Kulis
2024	J	`jnl`	Is Large-Scale Pretraining the Secret to Good Domain Generalization? CoRR Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Bryan A. Plummer, Kate Saenko
2024	J	`jnl`	Quantified Task Misalignment to Inform PEFT: An Exploration of Domain Generalization and Catastrophic Forgetting in CLIP. CoRR Laura Niss, Kevin Vogt-Lowell, Theodoros Tsiligkaridis
2024	A*	`conf`	UniTS: A Unified Multi-Task Time Series Model. NeurIPS Shanghua Gao, Teddy Koker, Owen Queen, Tom Hartvigsen, Theodoros Tsiligkaridis, Marinka Zitnik
2024	J	`jnl`	UniTS: Building a Unified Time Series Model. CoRR Shanghua Gao, Teddy Koker, Owen Queen, Thomas Hartvigsen, Theodoros Tsiligkaridis, Marinka Zitnik
2024	J	`jnl`	Zero-Shot Embeddings Inform Learning and Forgetting with Vision-Language Encoders. CoRR Laura Niss, Kevin Vogt-Lowell, Theodoros Tsiligkaridis
2023	J	`jnl`	Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning. CoRR Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis
2023	B	`conf`	Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty Calibration. IJCNN Theodoros Tsiligkaridis, Athanasios Tsiligkaridis
2023	A*	`conf`	Domain Adaptation for Time Series Under Feature and Label Shifts. ICML Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik
2023	J	`jnl`	Domain Adaptation for Time Series Under Feature and Label Shifts. CoRR Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik
2023	J	`jnl`	ERM++: An Improved Baseline for Domain Generalization. CoRR Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Kate Saenko, Bryan A. Plummer
2023	A*	`conf`	Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency. NeurIPS Owen Queen, Tom Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik
2023	J	`jnl`	Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency. CoRR Owen Queen, Thomas Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik
2023	—	`conf`	Robust Fine-Tuning of Vision-Language Models for Domain Generalization. HPEC Kevin Vogt-Lowell, Noah Lee, Theodoros Tsiligkaridis, Marc Vaillant
2023	J	`jnl`	Robust Fine-Tuning of Vision-Language Models for Domain Generalization. CoRR Kevin Vogt-Lowell, Noah Lee, Theodoros Tsiligkaridis, Marc Vaillant
2023	A*	`conf`	Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization. ICML Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis
2022	J	`jnl`	Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration. CoRR Ryan Soklaski, Michael Yee, Theodoros Tsiligkaridis
2022	A*	`conf`	Graph-Guided Network for Irregularly Sampled Multivariate Time Series. ICLR Xiang Zhang, Marko Zeman, Theodoros Tsiligkaridis, Marinka Zitnik
2022	J	`jnl`	Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble Pseudo-Labeling. CoRR Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis
2022	A*	`conf`	Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency. NeurIPS Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik
2022	J	`jnl`	Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency. CoRR Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik
2022	J	`jnl`	Supervised Metric Learning for Retrieval via Contextual Similarity Optimization. CoRR Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis
2022	A*	`conf`	Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training. CVPR Theodoros Tsiligkaridis, Jay Roberts
2021	—	`conf`	Controllably Sparse Perturbations of Robust Classifiers for Explaining Predictions and Probing Learned Concepts. MLVis@EuroVis Jay Roberts, Theodoros Tsiligkaridis
2021	Misc	`conf`	Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks. ICASSP Theodoros Tsiligkaridis
2021	J	`jnl`	Graph-Guided Network for Irregularly Sampled Multivariate Time Series. CoRR Xiang Zhang, Marko Zeman, Theodoros Tsiligkaridis, Marinka Zitnik
2021	J	`jnl`	Information Aware max-norm Dirichlet networks for predictive uncertainty estimation. Neural Networks Theodoros Tsiligkaridis
2021	J	`jnl`	Misclassification-Aware Gaussian Smoothing improves Robustness against Domain Shifts. CoRR Athanasios Tsiligkaridis, Theodoros Tsiligkaridis
2020	B	`conf`	A Multi-task LSTM Framework for Improved Early Sepsis Prediction. AIME Theodoros Tsiligkaridis, Jennifer Sloboda
2020	J	`jnl`	Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks. CoRR Theodoros Tsiligkaridis
2020	J	`jnl`	On Frank-Wolfe Optimization for Adversarial Robustness and Interpretability. CoRR Theodoros Tsiligkaridis, Jay Roberts
2020	J	`jnl`	Second Order Optimization for Adversarial Robustness and Interpretability. CoRR Theodoros Tsiligkaridis, Jay Roberts
2020	J	`jnl`	Ultrasound Diagnosis of COVID-19: Robustness and Explainability. CoRR Jay Roberts, Theodoros Tsiligkaridis
2019	J	`jnl`	Information Robust Dirichlet Networks for Predictive Uncertainty Estimation. CoRR Theodoros Tsiligkaridis
2018	J	`jnl`	Decentralized adaptive search using the noisy 20 questions framework in time-varying networks. Signal Process. Theodoros Tsiligkaridis
2018	Misc	`conf`	Distributed Optimization of Multi-Beam Directional Communication Networks. ICNC Theodoros Tsiligkaridis
2018	—	`conf`	Reinforcement Learning with Budget-Constrained Nonparametric Function Approximation for Opportunistic Spectrum Access. GlobalSIP Theodoros Tsiligkaridis, David Romero
2017	J	`jnl`	Accelerated Reinforcement Learning Algorithms with Nonparametric Function Approximation for Opportunistic Spectrum Access. CoRR Theodoros Tsiligkaridis, David Romero
2017	J	`jnl`	Corrections to "On Decentralized Estimation With Active Queries". IEEE Trans. Signal Process. David A. Castañón, Theodoros Tsiligkaridis, Alfred O. Hero III
2017	Misc	`conf`	Distributed probabilistic bisection search using social learning. ICASSP Athanasios Tsiligkaridis, Theodoros Tsiligkaridis
2017	B	`conf`	Performance Bounds on the Security of Transform-Based Analog Encryption. WCNC Theodoros Tsiligkaridis
2016	B	`conf`	Asynchronous decentralized algorithms for the noisy 20 questions problem. ISIT Theodoros Tsiligkaridis
2016	J	`jnl`	Distributed Probabilistic Bisection Search using Social Learning. CoRR Athanasios Tsiligkaridis, Theodoros Tsiligkaridis
2015	—	`conf`	A sequential Bayesian inference framework for blind frequency offset estimation. MLSP Theodoros Tsiligkaridis, Keith W. Forsythe
2015	—	`conf`	Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models. NIPS Theodoros Tsiligkaridis, Keith W. Forsythe
2015	J	`jnl`	Asynchronous Decentralized 20 Questions for Adaptive Search. CoRR Theodoros Tsiligkaridis
2015	J	`jnl`	On Decentralized Estimation With Active Queries. IEEE Trans. Signal Process. Theodoros Tsiligkaridis, Brian M. Sadler, Alfred O. Hero III
2015	B	`conf`	Optimal communication jamming rate tradeoff for MIMO communications. WCNC Theodoros Tsiligkaridis, Keith W. Forsythe, David W. Browne
2014	J	`jnl`	Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models. CoRR Theodoros Tsiligkaridis, Keith W. Forsythe
2014	J	`jnl`	Collaborative 20 Questions for Target Localization. IEEE Trans. Inf. Theory Theodoros Tsiligkaridis, Brian M. Sadler, Alfred O. Hero III
2014	J	`jnl`	Secure MIMO Communications Under Quantized Channel Feedback in the Presence of Jamming. IEEE Trans. Signal Process. Theodoros Tsiligkaridis
2014	J	`jnl`	Secure MIMO Communications under Quantized Feedback in the presence of Jamming. CoRR Theodoros Tsiligkaridis
2013	J	`jnl`	A Difference of Convex Functions Approach to Large-Scale Log-Linear Model Estimation. IEEE Trans. Speech Audio Process. Theodoros Tsiligkaridis, Etienne Marcheret, Vaibhava Goel
2013	Misc	`conf`	A collaborative 20 questions model for target search with human-machine interaction. ICASSP Theodoros Tsiligkaridis, Brian M. Sadler, Alfred O. Hero III
2013	—	`conf`	Blind collaborative 20 questions for target localization. GlobalSIP Theodoros Tsiligkaridis, Brian M. Sadler, Alfred O. Hero III
2013	J	`jnl`	Collaborative 20 Questions for Target Localization. CoRR Theodoros Tsiligkaridis, Brian M. Sadler, Alfred O. Hero III
2013	J	`jnl`	Covariance Estimation in High Dimensions Via Kronecker Product Expansions. IEEE Trans. Signal Process. Theodoros Tsiligkaridis, Alfred O. Hero III
2013	—	`conf`	Kronecker sum decompositions of space-time data. CAMSAP Kristjan H. Greenewald, Theodoros Tsiligkaridis, Alfred O. Hero III
2013	B	`conf`	Low separation rank covariance estimation using Kronecker product expansions. ISIT Theodoros Tsiligkaridis, Alfred O. Hero III
2013	J	`jnl`	On Convergence of Kronecker Graphical Lasso Algorithms. IEEE Trans. Signal Process. Theodoros Tsiligkaridis, Alfred O. Hero III, Shuheng Zhou
2013	J	`jnl`	On Decentralized Estimation with Active Queries. CoRR Theodoros Tsiligkaridis, Brian M. Sadler, Alfred O. Hero III
2012	—	`conf`	Kronecker graphical lasso. SSP Theodoros Tsiligkaridis, Alfred O. Hero III, Shuheng Zhou
2012	Misc	`conf`	Sparse covariance estimation under Kronecker product structure. ICASSP Theodoros Tsiligkaridis, Alfred O. Hero III
2010	J	`jnl`	PAPR Reduction Performance by Active Constellation Extension for Diversity MIMO-OFDM Systems. J. Electr. Comput. Eng. Theodoros Tsiligkaridis, Douglas L. Jones