Theodoros Tsiligkaridis

CoRR, 2024

UniTS: Building a Unified Time Series Model.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Laura Niss

Kevin Vogt-Lowell

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Image-Caption Encoding for Improving Zero-Shot Generalization.

[BibT_eX]

[DOI]

Eric Yang Yu

Sathvik Ravi

CoRR, 2024

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

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

ERM++: An Improved Baseline for Domain Generalization.

[BibT_eX]

[DOI]

Piotr Teterwak

Kuniaki Saito

Kate Saenko

Bryan A. Plummer

CoRR, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Athanasios Tsiligkaridis

Proceedings of the International Joint Conference on Neural Networks, 2023

Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Domain Adaptation for Time Series Under Feature and Label Shifts.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Robust Fine-Tuning of Vision-Language Models for Domain Generalization.

[BibT_eX]

[DOI]

Kevin Vogt-Lowell

Noah Lee

Marc Vaillant

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

2022

Supervised Metric Learning for Retrieval via Contextual Similarity Optimization.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration.

[BibT_eX]

[DOI]

Ryan Soklaski

Michael Yee

CoRR, 2022

Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency.

[BibT_eX]

[DOI]

Xiang Zhang

Ziyuan Zhao

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.

[BibT_eX]

[DOI]

Xiang Zhang

Marko Zeman

Proceedings of the Tenth International Conference on Learning Representations, 2022

Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Information Aware max-norm Dirichlet networks for predictive uncertainty estimation.

[BibT_eX]

[DOI]

Neural Networks, 2021

Misclassification-Aware Gaussian Smoothing improves Robustness against Domain Shifts.

[BibT_eX]

[DOI]

Athanasios Tsiligkaridis

CoRR, 2021

Controllably Sparse Perturbations of Robust Classifiers for Explaining Predictions and Probing Learned Concepts.

[BibT_eX]

[DOI]

Proceedings of the 4th Workshop on Machine Learning Methods in Visualisation for Big Data, 2021

Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

On Frank-Wolfe Optimization for Adversarial Robustness and Interpretability.

[BibT_eX]

[DOI]

CoRR, 2020

Ultrasound Diagnosis of COVID-19: Robustness and Explainability.

[BibT_eX]

[DOI]

CoRR, 2020

Second Order Optimization for Adversarial Robustness and Interpretability.

[BibT_eX]

[DOI]

CoRR, 2020

A Multi-task LSTM Framework for Improved Early Sepsis Prediction.

[BibT_eX]

[DOI]

Jennifer Sloboda

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

Information Robust Dirichlet Networks for Predictive Uncertainty Estimation.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Decentralized adaptive search using the noisy 20 questions framework in time-varying networks.

[BibT_eX]

[DOI]

Signal Process., 2018

Distributed Optimization of Multi-Beam Directional Communication Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on Computing, 2018

Reinforcement Learning with Budget-Constrained Nonparametric Function Approximation for Opportunistic Spectrum Access.

[BibT_eX]

[DOI]

David Romero

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017

Corrections to "On Decentralized Estimation With Active Queries".

[BibT_eX]

[DOI]

David A. Castañón

IEEE Trans. Signal Process., 2017

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

[BibT_eX]

[DOI]

David Romero

CoRR, 2017

Performance Bounds on the Security of Transform-Based Analog Encryption.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

Distributed probabilistic bisection search using social learning.

[BibT_eX]

[DOI]

Athanasios Tsiligkaridis

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Asynchronous decentralized algorithms for the noisy 20 questions problem.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2016

2015

On Decentralized Estimation With Active Queries.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

Asynchronous Decentralized 20 Questions for Adaptive Search.

[BibT_eX]

[DOI]

CoRR, 2015

Optimal communication jamming rate tradeoff for MIMO communications.

[BibT_eX]

[DOI]

Keith W. Forsythe

David W. Browne

Proceedings of the 2015 IEEE Wireless Communications and Networking Conference, 2015

Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models.

[BibT_eX]

[DOI]

Keith W. Forsythe

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.

[BibT_eX]

[DOI]

Keith W. Forsythe

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.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2014

Collaborative 20 Questions for Target Localization.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2014

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

[BibT_eX]

[DOI]

CoRR, 2014

2013

On Convergence of Kronecker Graphical Lasso Algorithms.

[BibT_eX]

[DOI]

Shuheng Zhou

IEEE Trans. Signal Process., 2013

Covariance Estimation in High Dimensions Via Kronecker Product Expansions.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2013

A Difference of Convex Functions Approach to Large-Scale Log-Linear Model Estimation.

[BibT_eX]

[DOI]

Etienne Marcheret

Vaibhava Goel

IEEE Trans. Speech Audio Process., 2013

Low separation rank covariance estimation using Kronecker product expansions.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

A collaborative 20 questions model for target search with human-machine interaction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Blind collaborative 20 questions for target localization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Kronecker sum decompositions of space-time data.

[BibT_eX]

[DOI]

Kristjan H. Greenewald

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012

Kronecker graphical lasso.

[BibT_eX]

[DOI]

Shuheng Zhou

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Sparse covariance estimation under Kronecker product structure.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2010

PAPR Reduction Performance by Active Constellation Extension for Diversity MIMO-OFDM Systems.

[BibT_eX]

[DOI]