Topic modelling of authentication events in an enterprise computer network. - Nick Heard; Konstantina Palla; Maria Skoularidou (ISI, 2016)

Estimating the Directed Information and Testing for Causality. - Ioannis Kontoyiannis; Maria Skoularidou (IEEE Trans. Inf. Theory, 2016)

Deep Tree Models for 'Big' Biological Data. - Lambros Mertzanis; Athina Panotopoulou; Maria Skoularidou; Ioannis Kontoyiannis (SPAWC, 2018)

Modeling Tabular data using Conditional GAN. - Lei Xu 040; Maria Skoularidou; Alfredo Cuesta-Infante; Kalyan Veeramachaneni (NeurIPS, 2019)

Bayesian Context Trees: Modelling and exact inference for discrete time series. - Ioannis Kontoyiannis; Lambros Mertzanis; Athina Panotopoulou; Ioannis Papageorgiou; Maria Skoularidou (CoRR, 2020)

Revisiting Context-Tree Weighting for Bayesian Inference. - Ioannis Papageorgiou; Ioannis Kontoyiannis; Lambros Mertzanis; Athina Panotopoulou; Maria Skoularidou (ISIT, 2021)

Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI. - Theodore Papamarkou; Maria Skoularidou; Konstantina Palla; Laurence Aitchison; Julyan Arbel; David B. Dunson; Maurizio Filippone; Vincent Fortuin; Philipp Hennig; José Miguel Hernández-Lobato; Aliaksandr Hubin; Alexander Immer; et al. (ICML, 2024)

Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI. - Theodore Papamarkou; Maria Skoularidou; Konstantina Palla; Laurence Aitchison; Julyan Arbel; David B. Dunson; Maurizio Filippone; Vincent Fortuin; Philipp Hennig; José Miguel Hernández-Lobato; Aliaksandr Hubin; Alexander Immer; et al. (CoRR, 2024)