4 papers · 1 filter
Kolmogorov Arnold Network Autoencoder in Medicine
Ugo Lomoio, Pierangelo Veltri, Pietro Hiram Guzzi
Deep learning neural networks architectures such Multi Layer Perceptrons (MLP) and Convolutional blocks still play a crucial role in nowadays research advancements. From a topologi…
ExDiff: A Framework for Simulating Diffusion Processes on Complex Networks with Explainable AI Integration
Annamaria Defilippo, Ugo Lomoio, Barbara Puccio +2
Understanding and controlling diffusion processes in complex networks is critical across domains ranging from epidemiology to information science. Here, we present ExDiff, an inter…
Towards medical AI misalignment: a preliminary study
Barbara Puccio, Federico Castagna, Allan Tucker +1
Despite their staggering capabilities as assistant tools, often exceeding human performances, Large Language Models (LLMs) are still prone to jailbreak attempts from malevolent use…
Decoding Rarity: Large Language Models in the Diagnosis of Rare Diseases
Valentina Carbonari, Pierangelo Veltri, Pietro Hiram Guzzi
Recent advances in artificial intelligence, particularly large language models LLMs, have shown promising capabilities in transforming rare disease research. This survey paper expl…