24 citations · 24 across the 4 of their papers we have counts for
4 papers
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…
Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks
Fabien Bernier, Maxime Cordy, Yves Le Traon
Accurate electrical consumption forecasting is crucial for efficient energy management and resource allocation. While traditional time series forecasting relies on historical patte…
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…
PowerGraph-LLM: Novel Power Grid Graph Embedding and Optimization with Large Language Models
Fabien Bernier, Jun Cao, Maxime Cordy +1
Efficiently solving Optimal Power Flow (OPF) problems in power systems is crucial for operational planning and grid management. There is a growing need for scalable algorithms capa…