4 papers · 1 filter
From Hybrid Mechanistic--Data-Driven Modeling Toward Neuro-Symbolic AI: What, Why, and How
Moein E. Samadi, Andreas Schuppert
Hybrid mechanistic/data-driven models, which combine first-principles with learned components, are increasingly used in process engineering and scientific machine learning. Common…
Ensuring Safety in Automated Mechanical Ventilation through Offline Reinforcement Learning and Digital Twin Verification
Hang Yu, Huidong Liu, Qingchen Zhang +5
Mechanical ventilation (MV) is a life-saving intervention for patients with acute respiratory failure (ARF) in the ICU. However, inappropriate ventilator settings could cause venti…
Flexible Swarm Learning May Outpace Foundation Models in Essential Tasks
Moein E. Samadi, Andreas Schuppert
Foundation models have rapidly advanced AI, raising the question of whether their decisions will ultimately surpass human strategies in real-world domains. The exponential, and pos…
Smooth Kolmogorov Arnold networks enabling structural knowledge representation
Moein E. Samadi, Younes Müller, Andreas Schuppert
Kolmogorov-Arnold Networks (KANs) offer an efficient and interpretable alternative to traditional multi-layer perceptron (MLP) architectures due to their finite network topology. H…