Theodoros Tsiligkaridis

Orcid: 0000-0003-0903-2861

According to our database1, Theodoros Tsiligkaridis authored at least 52 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
UniTS: Building a Unified Time Series Model.
CoRR, 2024

Quantified Task Misalignment to Inform PEFT: An Exploration of Domain Generalization and Catastrophic Forgetting in CLIP.
CoRR, 2024

A Data Centric Approach for Unsupervised Domain Generalization via Retrieval from Web Scale Multimodal Data.
CoRR, 2024

Image-Caption Encoding for Improving Zero-Shot Generalization.
CoRR, 2024

2023
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning.
CoRR, 2023

Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency.
CoRR, 2023

ERM++: An Improved Baseline for Domain Generalization.
CoRR, 2023

Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty Calibration.
Proceedings of the International Joint Conference on Neural Networks, 2023

Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization.
Proceedings of the International Conference on Machine Learning, 2023

Domain Adaptation for Time Series Under Feature and Label Shifts.
Proceedings of the International Conference on Machine Learning, 2023

Robust Fine-Tuning of Vision-Language Models for Domain Generalization.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

2022
Supervised Metric Learning for Retrieval via Contextual Similarity Optimization.
CoRR, 2022

Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble Pseudo-Labeling.
CoRR, 2022

Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration.
CoRR, 2022

Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Graph-Guided Network for Irregularly Sampled Multivariate Time Series.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Information Aware max-norm Dirichlet networks for predictive uncertainty estimation.
Neural Networks, 2021

Misclassification-Aware Gaussian Smoothing improves Robustness against Domain Shifts.
CoRR, 2021

Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
On Frank-Wolfe Optimization for Adversarial Robustness and Interpretability.
CoRR, 2020

Ultrasound Diagnosis of COVID-19: Robustness and Explainability.
CoRR, 2020

Second Order Optimization for Adversarial Robustness and Interpretability.
CoRR, 2020

A Multi-task LSTM Framework for Improved Early Sepsis Prediction.
Proceedings of the Artificial Intelligence in Medicine, 2020

2019
Information Robust Dirichlet Networks for Predictive Uncertainty Estimation.
CoRR, 2019

2018
Decentralized adaptive search using the noisy 20 questions framework in time-varying networks.
Signal Process., 2018

Distributed Optimization of Multi-Beam Directional Communication Networks.
Proceedings of the 2018 International Conference on Computing, 2018

Reinforcement Learning with Budget-Constrained Nonparametric Function Approximation for Opportunistic Spectrum Access.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017
Corrections to "On Decentralized Estimation With Active Queries".
IEEE Trans. Signal Process., 2017

Accelerated Reinforcement Learning Algorithms with Nonparametric Function Approximation for Opportunistic Spectrum Access.
CoRR, 2017

Performance Bounds on the Security of Transform-Based Analog Encryption.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

Distributed probabilistic bisection search using social learning.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Asynchronous decentralized algorithms for the noisy 20 questions problem.
Proceedings of the IEEE International Symposium on Information Theory, 2016

2015
On Decentralized Estimation With Active Queries.
IEEE Trans. Signal Process., 2015

Asynchronous Decentralized 20 Questions for Adaptive Search.
CoRR, 2015

Optimal communication jamming rate tradeoff for MIMO communications.
Proceedings of the 2015 IEEE Wireless Communications and Networking Conference, 2015

Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

A sequential Bayesian inference framework for blind frequency offset estimation.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

2014
Secure MIMO Communications Under Quantized Channel Feedback in the Presence of Jamming.
IEEE Trans. Signal Process., 2014

Collaborative 20 Questions for Target Localization.
IEEE Trans. Inf. Theory, 2014

Secure MIMO Communications under Quantized Feedback in the presence of Jamming.
CoRR, 2014

2013
On Convergence of Kronecker Graphical Lasso Algorithms.
IEEE Trans. Signal Process., 2013

Covariance Estimation in High Dimensions Via Kronecker Product Expansions.
IEEE Trans. Signal Process., 2013

A Difference of Convex Functions Approach to Large-Scale Log-Linear Model Estimation.
IEEE Trans. Speech Audio Process., 2013

Low separation rank covariance estimation using Kronecker product expansions.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

A collaborative 20 questions model for target search with human-machine interaction.
Proceedings of the IEEE International Conference on Acoustics, 2013

Blind collaborative 20 questions for target localization.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Kronecker sum decompositions of space-time data.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012
Kronecker graphical lasso.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Sparse covariance estimation under Kronecker product structure.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2010
PAPR Reduction Performance by Active Constellation Extension for Diversity MIMO-OFDM Systems.
J. Electr. Comput. Eng., 2010


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