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Michela Proietti

2 accepted papers

2026

CIP-Net: Continual Interpretable Prototype-based Network

AAAI 2026technical

Continual learning constrains models to learn new tasks over time without forgetting what they have already learned. A key challenge in this setting is catastrophic forgetting, where learning new information causes the model to lose its performance on previous tasks. Recently, explainable AI has bee

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2026

Fine-grained Analysis of Brain-LLM Alignment through Input Attribution

ICML 2026poster

Understanding the alignment between large language models (LLMs) and human brain activity can reveal computational principles underlying language processing. This work describes a pipeline to apply attribution methods to the brain-LLM alignment setting to identify the specific words most important f…

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