Conveners
frEnbis invited session: Deep learning in industry
- yannig goude (EDF R&D)
Description
frEnbis Invited session
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Paul Berhaut (Air Liquide)17/09/2024, 11:30AI in Industry
Our research addresses the industrial challenge of minimising production costs in an undiscounted, continuing, partially observable setting. We argue that existing state-of-the-art reinforcement learning algorithms are unsuitable for this context. We introduce Clipped Horizon Average Reward (CHAR), a method tailored for undiscounted optimisation. CHAR is an extension applicable to any...
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Vincent Thouvenot (Thales SIX GTS France)17/09/2024, 12:00Other/ Special/ Invited
The aim of AI based on machine learning is to generalize information about individuals to an entire population. And yet...
- Can an AI leak information about its training data?
- Since the answer to the first question is yes, what kind of information can it leak?
- How can it be attacked to retrieve this information?To emphasize AI vulnerability issues, Direction Générale de l’Armement...
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Yvenn Amara-Ouali (Université Paris Saclay)17/09/2024, 12:30Other/ Special/ Invited
In this presentation, we provide an overview of deep learning applications in electricity markets, focusing on several key areas of forecasting. First, we discuss state-of-the-art methods for forecasting electricity demand, including Generalised Additive Models (GAMs), which inspired the work that follows. Second, we look at multi-resolution forecasting, which uses data at high- and...
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