Kostis Gourgoulias

13 papers Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
ADkit: A Framework for Anomaly Detection from Natural Language.
FinanSE@ICSE
Kostis Gourgoulias, Senad Ibraimoski, Alexandru-Petre Cazan, Mohammed Ayub, Andre Frade, Leandro Martin Rios, Sean J. Moran
2025 — conf
Efficient and Explainable Anomaly Detection in Financial System Logs Using Statistical Modeling.
FinanSE@ICSE
Mohammed Ayub, Mauro Annarumma, Gaston Liberman, David Algorry, Kostis Gourgoulias, Najah Ghalyan, Sean J. Moran
2025 — conf
Using AI/ML to Find and Remediate Enterprise Secrets in Code and Document Sharing Platforms.
FinanSE@ICSE
Gregor Kerr, David Algorry, Senad Ibraimoski, Peter Maciver, Kostis Gourgoulias, Sean J. Moran
2024 — conf
DeepClean: Machine Unlearning on the Cheap by Resetting Privacy Sensitive Weights Using the Fisher Diagonal.
ECCV Workshops (18)
Jialei Shi, Kostis Gourgoulias, John F. Buford, Sean J. Moran, Najah Ghalyan
2024 J jnl
Estimating class separability of text embeddings with persistent homology.
Trans. Mach. Learn. Res.
Kostis Gourgoulias, Najah Ghalyan, Maxime Labonne, Yash Satsangi, Sean J. Moran, Joseph Sabelja
2023 J jnl
An Unsupervised Method for Estimating Class Separability of Datasets with Application to LLMs Fine-Tuning.
CoRR
Najah Ghalyan, Kostis Gourgoulias, Yash Satsangi, Sean J. Moran, Maxime Labonne, Joseph Sabelja
2023 J jnl
DeepClean: Machine Unlearning on the Cheap by Resetting Privacy Sensitive Weights using the Fisher Diagonal.
CoRR
Jiaeli Shi, Najah Ghalyan, Kostis Gourgoulias, John F. Buford, Sean J. Moran
2020 J jnl
Learning medical triage from clinicians using Deep Q-Learning.
CoRR
Albert Buchard, Baptiste Bouvier, Giulia Prando, Rory Beard, Michail Livieratos, Dan Busbridge, Daniel H. Thompson, Jonathan G. Richens, Yuanzhao Zhang, Adam Baker, Yura Perov, Kostis Gourgoulias, Saurabh Johri
2020 J jnl
Masking schemes for universal marginalisers.
CoRR
Divya Gautam, Maria Lomeli, Kostis Gourgoulias, Daniel H. Thompson, Saurabh Johri
2019 — conf
MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming.
AABI
Yura Perov, Logan Graham, Kostis Gourgoulias, Jonathan G. Richens, Ciarán M. Lee, Adam Baker, Saurabh Johri
2019 J jnl
MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming.
CoRR
Yura Perov, Logan Graham, Kostis Gourgoulias, Jonathan G. Richens, Ciarán M. Lee, Adam Baker, Saurabh Johri
2019 J jnl
Universal Marginaliser for Deep Amortised Inference for Probabilistic Programs.
CoRR
Robert Walecki, Kostis Gourgoulias, Adam Baker, Chris Hart, Chris Lucas, Max Zwiessele, Albert Buchard, Maria Lomeli, Yura Perov, Saurabh Johri
2018 J jnl
Universal Marginalizer for Amortised Inference and Embedding of Generative Models.
CoRR
Robert Walecki, Albert Buchard, Kostis Gourgoulias, Chris Hart, Maria Lomeli, Alexandre K. W. Navarro, Max Zwiessele, Yura Perov, Saurabh Johri