Subspace clustering applied to face images. - Constantine Kotropoulos; Konstantinos Pitas (IWBF, 2014)

PAC-Bayesian Margin Bounds for Convolutional Neural Networks - Technical Report. - Konstantinos Pitas; Mike E. Davies 001; Pierre Vandergheynst (CoRR, 2018)

FeTa: A DCA Pruning Algorithm with Generalization Error Guarantees. - Konstantinos Pitas; Mike E. Davies 001; Pierre Vandergheynst (CoRR, 2018)

Revisiting hard thresholding for DNN pruning. - Konstantinos Pitas; Mike E. Davies 001; Pierre Vandergheynst (CoRR, 2019)

Some limitations of norm based generalization bounds in deep neural networks. - Konstantinos Pitas; Andreas Loukas; Mike Davies 001; Pierre Vandergheynst (CoRR, 2019)

Better PAC-Bayes Bounds for Deep Neural Networks using the Loss Curvature. - Konstantinos Pitas (CoRR, 2019)

Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation. - Konstantinos Pitas (ICML, 2020)

Cold Posteriors through PAC-Bayes. - Konstantinos Pitas; Julyan Arbel (CoRR, 2022)

The Fine Print on Tempered Posteriors. - Konstantinos Pitas; Julyan Arbel (ACML, 2023)

Europepolls: A Dataset of Country-Level Opinion Polling Data for the European Union and the UK. - Konstantinos Pitas (CoRR, 2023)

A Primer on Bayesian Neural Networks: Review and Debates. - Julyan Arbel; Konstantinos Pitas; Mariia Vladimirova; Vincent Fortuin (CoRR, 2023)

Something for (almost) nothing: Improving deep ensemble calibration using unlabeled data. - Konstantinos Pitas; Julyan Arbel (CoRR, 2023)

Just rotate it! Uncertainty estimation in closed-source models via multiple queries. - Konstantinos Pitas; Julyan Arbel (CoRR, 2024)

Just rephrase it! Uncertainty estimation in closed-source language models via multiple rephrased queries. - Adam Yang 002; Chen Chen; Konstantinos Pitas (CoRR, 2024)

U-ensembles: Improved diversity in the small data regime using unlabeled data. - Konstantinos Pitas; Hani Anouar Bourrous; Julyan Arbel (AABI, 2025)