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ORCIDTheodoros Tsiligkaridis
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2020 – today
- 2024
[c26]Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis:
Descriptor and Word Soups Q: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning. CVPR 2024: 27005-27015- [i28]Eric Yang Yu, Christopher Liao, Sathvik Ravi, Theodoros Tsiligkaridis, Brian Kulis:
Image-Caption Encoding for Improving Zero-Shot Generalization. CoRR abs/2402.02662 (2024) - [i27]Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis:
A Data Centric Approach for Unsupervised Domain Generalization via Retrieval from Web Scale Multimodal Data. CoRR abs/2402.04416 (2024) - [i26]Laura Niss, Kevin Vogt-Lowell, Theodoros Tsiligkaridis:
Quantified Task Misalignment to Inform PEFT: An Exploration of Domain Generalization and Catastrophic Forgetting in CLIP. CoRR abs/2402.09613 (2024) - [i25]Shanghua Gao, Teddy Koker, Owen Queen, Thomas Hartvigsen, Theodoros Tsiligkaridis, Marinka Zitnik:
UniTS: Building a Unified Time Series Model. CoRR abs/2403.00131 (2024) - [i24]Laura Niss, Kevin Vogt-Lowell, Theodoros Tsiligkaridis:
Zero-Shot Embeddings Inform Learning and Forgetting with Vision-Language Encoders. CoRR abs/2407.15731 (2024) - 2023
- [c25]Kevin Vogt-Lowell, Noah Lee, Theodoros Tsiligkaridis, Marc Vaillant:
Robust Fine-Tuning of Vision-Language Models for Domain Generalization. HPEC 2023: 1-7 - [c24]Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik:
Domain Adaptation for Time Series Under Feature and Label Shifts. ICML 2023: 12746-12774 - [c23]Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis:
Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization. ICML 2023: 20906-20938 - [c22]Theodoros Tsiligkaridis, Athanasios Tsiligkaridis:
Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty Calibration. IJCNN 2023: 1-8 - [c21]Owen Queen, Tom Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik:
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency. NeurIPS 2023 - [i23]Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik:
Domain Adaptation for Time Series Under Feature and Label Shifts. CoRR abs/2302.03133 (2023) - [i22]Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Kate Saenko, Bryan A. Plummer:
ERM++: An Improved Baseline for Domain Generalization. CoRR abs/2304.01973 (2023) - [i21]Owen Queen, Thomas Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik:
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency. CoRR abs/2306.02109 (2023) - [i20]Kevin Vogt-Lowell, Noah Lee, Theodoros Tsiligkaridis, Marc Vaillant:
Robust Fine-Tuning of Vision-Language Models for Domain Generalization. CoRR abs/2311.02236 (2023) - [i19]Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis:
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning. CoRR abs/2311.13612 (2023) - 2022
- [c20]Theodoros Tsiligkaridis, Jay Roberts:
Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training. CVPR 2022: 50-59 - [c19]Xiang Zhang, Marko Zeman, Theodoros Tsiligkaridis, Marinka Zitnik:
Graph-Guided Network for Irregularly Sampled Multivariate Time Series. ICLR 2022 - [c18]Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik:
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency. NeurIPS 2022 - [i18]Ryan Soklaski, Michael Yee, Theodoros Tsiligkaridis:
Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration. CoRR abs/2202.12412 (2022) - [i17]Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis:
Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble Pseudo-Labeling. CoRR abs/2205.13508 (2022) - [i16]Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik:
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency. CoRR abs/2206.08496 (2022) - [i15]Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis:
Supervised Metric Learning for Retrieval via Contextual Similarity Optimization. CoRR abs/2210.01908 (2022) - 2021
- [j10]Theodoros Tsiligkaridis
:
Information Aware max-norm Dirichlet networks for predictive uncertainty estimation. Neural Networks 135: 105-114 (2021) - [c17]Theodoros Tsiligkaridis:
Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks. ICASSP 2021: 3525-3529 - [c16]Jay Roberts, Theodoros Tsiligkaridis:
Controllably Sparse Perturbations of Robust Classifiers for Explaining Predictions and Probing Learned Concepts. MLVis@EuroVis 2021: 1-5 - [i14]Athanasios Tsiligkaridis, Theodoros Tsiligkaridis:
Misclassification-Aware Gaussian Smoothing improves Robustness against Domain Shifts. CoRR abs/2104.01231 (2021) - [i13]Xiang Zhang, Marko Zeman, Theodoros Tsiligkaridis, Marinka Zitnik:
Graph-Guided Network for Irregularly Sampled Multivariate Time Series. CoRR abs/2110.05357 (2021) - 2020
- [c15]Theodoros Tsiligkaridis, Jennifer Sloboda:
A Multi-task LSTM Framework for Improved Early Sepsis Prediction. AIME 2020: 49-58 - [i12]Theodoros Tsiligkaridis, Jay Roberts:
Second Order Optimization for Adversarial Robustness and Interpretability. CoRR abs/2009.04923 (2020) - [i11]Theodoros Tsiligkaridis:
Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks. CoRR abs/2010.09865 (2020) - [i10]Jay Roberts, Theodoros Tsiligkaridis:
Ultrasound Diagnosis of COVID-19: Robustness and Explainability. CoRR abs/2012.01145 (2020) - [i9]Theodoros Tsiligkaridis, Jay Roberts:
On Frank-Wolfe Optimization for Adversarial Robustness and Interpretability. CoRR abs/2012.12368 (2020)
2010 – 2019
- 2019
- [i8]Theodoros Tsiligkaridis:
Information Robust Dirichlet Networks for Predictive Uncertainty Estimation. CoRR abs/1910.04819 (2019) - 2018
- [j9]Theodoros Tsiligkaridis:
Decentralized adaptive search using the noisy 20 questions framework in time-varying networks. Signal Process. 142: 330-339 (2018) - [c14]Theodoros Tsiligkaridis, David Romero:
Reinforcement Learning with Budget-Constrained Nonparametric Function Approximation for Opportunistic Spectrum Access. GlobalSIP 2018: 579-583 - [c13]Theodoros Tsiligkaridis:
Distributed Optimization of Multi-Beam Directional Communication Networks. ICNC 2018: 670-675 - 2017
- [j8]David A. Castañón, Theodoros Tsiligkaridis, Alfred O. Hero III:
Corrections to "On Decentralized Estimation With Active Queries". IEEE Trans. Signal Process. 65(18): 4971-4972 (2017) - [c12]Athanasios Tsiligkaridis, Theodoros Tsiligkaridis:
Distributed probabilistic bisection search using social learning. ICASSP 2017: 4069-4073 - [c11]Theodoros Tsiligkaridis:
Performance Bounds on the Security of Transform-Based Analog Encryption. WCNC 2017: 1-6 - [i7]Theodoros Tsiligkaridis, David Romero:
Accelerated Reinforcement Learning Algorithms with Nonparametric Function Approximation for Opportunistic Spectrum Access. CoRR abs/1706.04546 (2017) - 2016
- [c10]Theodoros Tsiligkaridis:
Asynchronous decentralized algorithms for the noisy 20 questions problem. ISIT 2016: 2699-2703 - [i6]Athanasios Tsiligkaridis, Theodoros Tsiligkaridis:
Distributed Probabilistic Bisection Search using Social Learning. CoRR abs/1608.06007 (2016) - 2015
- [j7]Theodoros Tsiligkaridis, Brian M. Sadler, Alfred O. Hero III:
On Decentralized Estimation With Active Queries. IEEE Trans. Signal Process. 63(10): 2610-2622 (2015) - [c9]Theodoros Tsiligkaridis, Keith W. Forsythe:
A sequential Bayesian inference framework for blind frequency offset estimation. MLSP 2015: 1-6 - [c8]Theodoros Tsiligkaridis, Keith W. Forsythe:
Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models. NIPS 2015: 28-36 - [c7]Theodoros Tsiligkaridis, Keith W. Forsythe, David W. Browne:
Optimal communication jamming rate tradeoff for MIMO communications. WCNC 2015: 52-57 - [i5]Theodoros Tsiligkaridis:
Asynchronous Decentralized 20 Questions for Adaptive Search. CoRR abs/1511.03144 (2015) - 2014
- [j6]Theodoros Tsiligkaridis, Brian M. Sadler, Alfred O. Hero III:
Collaborative 20 Questions for Target Localization. IEEE Trans. Inf. Theory 60(4): 2233-2252 (2014) - [j5]Theodoros Tsiligkaridis:
Secure MIMO Communications Under Quantized Channel Feedback in the Presence of Jamming. IEEE Trans. Signal Process. 62(23): 6265-6275 (2014) - [i4]Theodoros Tsiligkaridis:
Secure MIMO Communications under Quantized Feedback in the presence of Jamming. CoRR abs/1404.5927 (2014) - [i3]Theodoros Tsiligkaridis, Keith W. Forsythe:
Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models. CoRR abs/1409.8185 (2014) - 2013
- [j4]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): 2255-2266 (2013) - [j3]Theodoros Tsiligkaridis, Alfred O. Hero III, Shuheng Zhou:
On Convergence of Kronecker Graphical Lasso Algorithms. IEEE Trans. Signal Process. 61(7): 1743-1755 (2013) - [j2]Theodoros Tsiligkaridis, Alfred O. Hero III:
Covariance Estimation in High Dimensions Via Kronecker Product Expansions. IEEE Trans. Signal Process. 61(21): 5347-5360 (2013) - [c6]Kristjan H. Greenewald, Theodoros Tsiligkaridis, Alfred O. Hero III:
Kronecker sum decompositions of space-time data. CAMSAP 2013: 65-68 - [c5]Theodoros Tsiligkaridis, Brian M. Sadler, Alfred O. Hero III:
Blind collaborative 20 questions for target localization. GlobalSIP 2013: 161-164 - [c4]Theodoros Tsiligkaridis, Brian M. Sadler, Alfred O. Hero III:
A collaborative 20 questions model for target search with human-machine interaction. ICASSP 2013: 6516-6520 - [c3]Theodoros Tsiligkaridis, Alfred O. Hero III:
Low separation rank covariance estimation using Kronecker product expansions. ISIT 2013: 1202-1206 - [i2]Theodoros Tsiligkaridis, Brian M. Sadler, Alfred O. Hero III:
Collaborative 20 Questions for Target Localization. CoRR abs/1306.1922 (2013) - [i1]Theodoros Tsiligkaridis, Brian M. Sadler, Alfred O. Hero III:
On Decentralized Estimation with Active Queries. CoRR abs/1312.7847 (2013) - 2012
- [c2]Theodoros Tsiligkaridis, Alfred O. Hero III:
Sparse covariance estimation under Kronecker product structure. ICASSP 2012: 3633-3636 - [c1]Theodoros Tsiligkaridis, Alfred O. Hero III, Shuheng Zhou:
Kronecker graphical lasso. SSP 2012: 884-887 - 2010
- [j1]Theodoros Tsiligkaridis, Douglas L. Jones:
PAPR Reduction Performance by Active Constellation Extension for Diversity MIMO-OFDM Systems. J. Electr. Comput. Eng. 2010: 930368:1-930368:5 (2010)
Coauthor Index
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last updated on 2024-10-08 21:27 CEST by the dblp team
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