Dimitrios Gunopulos — accepted AI-conference papers

2026

GLANCE: Global Actions in a Nutshell for Counterfactual Explainability

Loukas Kavouras, Eleni Psaroudaki, Konstantinos Tsopelas, Dimitrios Rontogiannis, Nikolaos Theologitis, Dimitris Sacharidis +6

AAAI 2026technical

The widespread deployment of machine learning systems in critical real-world decision-making applications has highlighted the urgent need for counterfactual explainability methods that operate effectively. Global counterfactual explanations, expressed as actions to offer recourse, aim to provide suc

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2026

Interactive Evaluation of Large Language Models for Multi-Requirement Software Engineering Tasks

Dimitrios Rontogiannis, Maxime Peyrard, Nicolas Baldwin, Martin Josifoski, Robert West, Dimitrios Gunopulos

AAAI 2026technical

Standard single-turn, static benchmarks fall short in evaluating the nuanced capabilities of Large Language Models (LLMs) on complex tasks such as software engineering. In this work, we propose a novel interactive evaluation framework that assesses LLMs on multi-requirement programming tasks through

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2021

Particle Cloud Generation with Message Passing Generative Adversarial Networks

Raghav Kansal, Javier Duarte, Hao Su, Breno Orzari, Thiago R F P Tomei, Maurizio Pierini +3

NeurIPS 2021poster

In high energy physics (HEP), jets are collections of correlated particles produced ubiquitously in particle collisions such as those at the CERN Large Hadron Collider (LHC). Machine learning (ML)-based generative models, such as generative adversarial networks (GANs), have the potential to signific…

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