| 2026 | CLOSER | DARO: An Auction-Based Multi-Agent Reinforcement Learning Framework for Task Scheduling in the Cloud Continuum. | Syed Mafooq Ul Hassan, Marios Touloupou, Jacopo Castellini, Pablo Strasser, Alexandros Kalousis, Herodotos Herodotou |
| 2025 | AAAI | GLAD: Improving Latent Graph Generative Modeling with Simple Quantization. | Van Khoa Nguyen, Yoann Boget, Frantzeska Lavda, Alexandros Kalousis |
| 2025 | AISTATS | MING: A Functional Approach to Learning Molecular Generative Models. | Van Khoa Nguyen, Maciej Falkiewicz, Giangiacomo Mercatali, Alexandros Kalousis |
| 2024 | ICML | Mimicking Better by Matching the Approximate Action Distribution. | Joo A. Cndido Ramos, Lionel Blond, Naoya Takeishi, Alexandros Kalousis |
| 2023 | AISTATS | Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models. | Naoya Takeishi, Alexandros Kalousis |
| 2022 | ACML | Graph annotation generative adversarial networks. | Yoann Boget, Magda Gregorova, Alexandros Kalousis |
| 2021 | ICLR | Kanerva++: Extending the Kanerva Machine With Differentiable, Locally Block Allocated Latent Memory. | Jason Ramapuram, Yan Wu, Alexandros Kalousis |
| 2021 | IPIN | ProxyFAUG: Proximity-based Fingerprint Augmentation. | Grigorios G. Anagnostopoulos, Alexandros Kalousis |
| 2021 | IPIN | Towards Reproducible Indoor Positioning Research. | Grigorios G. Anagnostopoulos, Alexandros Kalousis |
| 2020 | ECAI | Improving VAE Generations of Multimodal Data Through Data-Dependent Conditional Priors. | Frantzeska Lavda, Magda Gregorov, Alexandros Kalousis |
| 2019 | ACML | Learning to Augment with Feature Side-information. | Amina Mollaysa, Alexandros Kalousis, Eric Bruno, Maurits Diephuis |
| 2019 | AISTATS | Sample-Efficient Imitation Learning via Generative Adversarial Nets. | Lionel Blond, Alexandros Kalousis |
| 2019 | BMVC | Variational Saccading: Efficient Inference for Large Resolution Images. | Jason Ramapuram, Maurits Diephuis, Frantzeska Lavda, Russ Webb, Alexandros Kalousis |
| 2019 | IPIN | A Reproducible Analysis of RSSI Fingerprinting for Outdoor Localization Using Sigfox: Preprocessing and Hyperparameter Tuning. | Grigorios G. Anagnostopoulos, Alexandros Kalousis |
| 2018 | NAACL | DeepAlignment: Unsupervised Ontology Matching with Refined Word Vectors. | Prodromos Kolyvakis, Alexandros Kalousis, Dimitris Kiritsis |
| 2018 | UAI | Structured nonlinear variable selection. | Magda Gregorova, Alexandros Kalousis, Stphane Marchand-Maillet |
| 2017 | ACML | Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks. | Magda Gregorov, Alexandros Kalousis, Stphane Marchand-Maillet |
| 2017 | AICCSA | Semi Supervised Relevance Learning for Feature Selection on High Dimensional Data. | Afef Ben Brahim, Alexandros Kalousis |
| 2017 | ICML | Regularising Non-linear Models Using Feature Side-information. | Amina Mollaysa, Pablo Strasser, Alexandros Kalousis |
| 2015 | ICML | Information Geometry and Minimum Description Length Networks. | Ke Sun, Jun Wang, Alexandros Kalousis, Stphane Marchand-Maillet |
| 2014 | ICML | Two-Stage Metric Learning. | Jun Wang, Ke Sun, Fei Sha, Stphane Marchand-Maillet, Alexandros Kalousis |
| 2013 | ICML | Convex formulations of radius-margin based Support Vector Machines. | Huyen Do, Alexandros Kalousis |
| 2012 | ICDM | Learning Heterogeneous Similarity Measures for Hybrid-Recommendations in Meta-Mining. | Phong Nguyen, Jun Wang, Melanie Hilario, Alexandros Kalousis |
| 2012 | KDD | Model mining for robust feature selection. | Adam Woznica, Phong Nguyen, Alexandros Kalousis |
| 2010 | ICDM | Adaptive Distances on Sets of Vectors. | Adam Woznica, Alexandros Kalousis |
| 2010 | PAKDD | A New Framework for Dissimilarity and Similarity Learning. | Adam Woznica, Alexandros Kalousis |
| 2010 | PAKDD | Adaptive Matching Based Kernels for Labelled Graphs. | Adam Woznica, Alexandros Kalousis, Melanie Hilario |
| 2008 | SDM | A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees. | Irene Ntoutsi, Alexandros Kalousis, Yannis Theodoridis |
| 2008 | SDM | Feature Selection with the logRatio Kernel. | Julien Prados, Alexandros Kalousis, Melanie Hilario |
| 2007 | ICML | Learning to combine distances for complex representations. | Adam Woznica, Alexandros Kalousis, Melanie Hilario |
| 2006 | CBMS | On Preprocessing of SELDI-MS Data and its Evaluation. | Julien Prados, Alexandros Kalousis, Melanie Hilario |
| 2006 | ICDM | Distances and (Indefinite) Kernels for Sets of Objects. | Adam Woznica, Alexandros Kalousis, Melanie Hilario |
| 2006 | PAKDD | Kernels on Lists and Sets over Relational Algebra: An Application to Classification of Protein Fingerprints. | Adam Woznica, Alexandros Kalousis, Melanie Hilario |
| 2005 | ICDM | Stability of Feature Selection Algorithms. | Alexandros Kalousis, Julien Prados, Melanie Hilario |
| 2005 | PAKDD | Kernels over Relational Algebra Structures. | Adam Woznica, Alexandros Kalousis, Melanie Hilario |
| 2004 | ICTAI | Distilling Classification Models from Cross Validation Runs: An Application to Mass Spectrometry. | Alexandros Kalousis, Julien Prados, Jean-Charles Sanchez, Laure Allard, Melanie Hilario |
| 2003 | ICML | Representational Issues in Meta-Learning. | Alexandros Kalousis, Melanie Hilario |
| 2001 | PAKDD | Feature Selection for Meta-learning. | Alexandros Kalousis, Melanie Hilario |
| 2000 | ICTAI | Model selection via meta-learning: a comparative study. | Alexandros Kalousis, Melanie Hilario |