18 citations · 34 across the 7 of their papers we have counts for
7 papers
Physics Informed Reinforcement Learning with Gibbs Priors for Topology Control in Power Grids
Pantelis Dogoulis, Maxime Cordy
Topology control for power grid operation is a challenging sequential decision making problem because the action space grows combinatorially with the size of the grid and action ev…
Can Large Language Models Reason and Optimize Under Constraints?
Fabien Bernier, Salah Ghamizi, Pantelis Dogoulis +1
Large Language Models (LLMs) have demonstrated great capabilities across diverse natural language tasks; yet their ability to solve abstraction and optimization problems with const…
KCLNet: Physics-Informed Power Flow Prediction via Constraints Projections
Pantelis Dogoulis, Karim Tit, Maxime Cordy
In the modern context of power systems, rapid, scalable, and physically plausible power flow predictions are essential for ensuring the grid's safe and efficient operation. While t…
Constraint-Guided Prediction Refinement via Deterministic Diffusion Trajectories
Pantelis Dogoulis, Fabien Bernier, Félix Fourreau +2
Many real-world machine learning tasks require outputs that satisfy hard constraints, such as physical conservation laws, structured dependencies in graphs, or column-level relatio…
Robustness Analysis of AI Models in Critical Energy Systems
Pantelis Dogoulis, Matthieu Jimenez, Salah Ghamizi +2
This paper analyzes the robustness of state-of-the-art AI-based models for power grid operations under the security criterion. While these models perform well in regular grid…
Improving Synthetically Generated Image Detection in Cross-Concept Settings
Pantelis Dogoulis, Giorgos Kordopatis-Zilos, Ioannis Kompatsiaris +1
New advancements for the detection of synthetic images are critical for fighting disinformation, as the capabilities of generative AI models continuously evolve and can lead to hyp…
A convolutional neural network of low complexity for tumor anomaly detection
Vasileios E. Papageorgiou, Pantelis Dogoulis, Dimitrios-Panagiotis Papageorgiou
The automated detection of cancerous tumors has attracted interest mainly during the last decade, due to the necessity of early and efficient diagnosis that will lead to the most e…