A Simulator for a Mobile Peer-to-Peer Database Environment. - Verena Kantere; Konstantina Palla; Kostas Patroumpas; Timos K. Sellis (MDM, 2008)

An Infinite Latent Attribute Model for Network Data. - Konstantina Palla; David A. Knowles; Zoubin Ghahramani (ICML, 2012)

A nonparametric variable clustering model. - David A. Knowles; Konstantina Palla; Zoubin Ghahramani (NIPS, 2012)

SIGMa: simple greedy matching for aligning large knowledge bases. - Simon Lacoste-Julien; Konstantina Palla; Alex Davies; Gjergji Kasneci; Thore Graepel; Zoubin Ghahramani (KDD, 2013)

A reversible infinite HMM using normalised random measures. - David A. Knowles; Zoubin Ghahramani; Konstantina Palla (ICML, 2014)

Relational Learning and Network Modelling Using Infinite Latent Attribute Models. - Konstantina Palla; David A. Knowles; Zoubin Ghahramani (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

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

A Birth-Death Process for Feature Allocation. - Konstantina Palla; David A. Knowles; Zoubin Ghahramani (ICML, 2017)

EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE. - Chao Ma 019; Sebastian Tschiatschek; Konstantina Palla; José Miguel Hernández-Lobato; Sebastian Nowozin; Cheng Zhang 005 (ICML, 2019)

Bayesian Nonparametrics for Sparse Dynamic Networks. - Cian Naik; François Caron; Judith Rousseau; Yee Whye Teh; Konstantina Palla (ECML/PKDD (5), 2022)

Harmonizing Global Voices: Culturally-Aware Models for Enhanced Content Moderation. - Alex J. Chan; José Luis Redondo García; Fabrizio Silvestri; Colm O'Donnel; Konstantina Palla (CoRR, 2023)

Framing Machine Learning Opportunities for Hypotension Prediction in Perioperative Care: A Socio-technical Perspective: Socio-technical perspectives on hypotension prediction. - Pratik Ghosh; Karen L. Posner; Stephanie L. Hyland; Wil van Cleve; Melissa Bristow; Dustin R. Long; Konstantina Palla; Bala Nair; Christine Fong; Ronald Pauldine; Monica S. Vavilala; Kenton O'Hara (ACM Trans. Comput. Hum. Interact., 2023)

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)

Epistemic Uncertainty and Observation Noise with the Neural Tangent Kernel. - Sergio Calvo-Ordoñez; Konstantina Palla; Kamil Ciosek (CoRR, 2024)

Policy-as-Prompt: Rethinking Content Moderation in the Age of Large Language Models. - Konstantina Palla; José Luis Redondo García; Claudia Hauff; Francesco Fabbri; Andreas Damianou; Henrik Lindström; Daniel R. Taber; Mounia Lalmas (FAccT, 2025)

Observation Noise and Initialization in Wide Neural Networks. - Sergio Calvo-Ordoñez; Jonathan Plenk; Richard Bergna; Alvaro Cartea; José Miguel Hernández-Lobato; Konstantina Palla; Kamil Ciosek (CoRR, 2025)