Search Results for author:
Found 2 papers, 1 papers with code
Stein Boltzmann Sampling: A Variational Approach for Global Optimization
In this paper, we introduce a new flow-based method for global optimization of Lipschitz functions, called Stein Boltzmann Sampling (SBS).
Reinforcement learning for Energies of the future and carbon neutrality: a Challenge Design
Current rapid changes in climate increase the urgency to change energy production and consumption management, to reduce carbon and other green-house gas production.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
