Nikolaou, Nikolaos

4 publications

CLeaR 2025 AGM-TE: Approximate Generative Model Estimator of Transfer Entropy for Causal Discovery Daniel Kornai, Ricardo Silva, Nikolaos Nikolaou

ICLRW 2021 Lossless Compression and Generalization in Overparameterized Models: The Case of Boosting Nikolaos Nikolaou

ECML-PKDD 2019 Pushing the Limits of Exoplanet Discovery via Direct Imaging with Deep Learning Kai Hou Yip, Nikolaos Nikolaou, Piero Coronica, Angelos Tsiaras, Billy Edwards, Quentin Changeat, Mario Morvan, Beth Biller, Sasha Hinkley, Jeffrey Salmond, Matthew Archer, Paul Sumption, Elodie Choquet, Remi Soummer, Laurent Pueyo, Ingo P. Waldmann

MLJ 2016 Cost-Sensitive Boosting Algorithms: Do We Really Need Them? Nikolaos Nikolaou, Narayanan Unny Edakunni, Meelis Kull, Peter A. Flach, Gavin Brown