Author

D. Genovese

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#artificial intelligence Preprint Oct 2026

Local Diagnostics of Learned Event Representations for Anomaly Detection at the HL-LHC

Anomaly detection, the identification of collision events that deviate from Standard Model expectations, is one of the most promising model-agnostic strategies for new-physics searches at the Large Hadron Collider. Searching for rare events in learned low-dimensional representations removes the need to commit to hand-c...

D. Genovese, Philip Ploner, Simone Scardapane et al. · 0 citations

#artificial intelligence Preprint Oct 2026

LRCC: Generalizing Low-Rank Compression with Conditional Computation

Low-rank compression reduces the cost of pretrained language models by replacing linear transformations with low-rank factorizations. However, conventional methods use a fixed rank allocation during inference, assigning the same amount of compute regardless of the input token. We introduce Low-Rank Conditional Computat...

T. Fontanari, Maximo Eduardo Rulli, Federico Alvetreti et al. · 0 citations

#artificial intelligence Review Sep 2026

Authorship attribution and aesthetic evaluation of AI poetry: a case study with Haiku

This paper investigates the generation and human evaluation of Japanese haiku by contemporary Large Language Models (LLMs), focusing on authorship perception and aesthetic judgment within a constrained poetic form. Using a few-shot prompting strategy, Japanese haiku were generated across a heterogeneous set of large la...

Livia Oddi, Simone Scardapane, Toru Sugimoto et al. · 0 citations