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Francesco Craighero

francesco.craighero@epfl.ch +41 21 693 36 25 https://fcraighero.github.io/

Expertise

machine learning, explainable AI, single-cell analysis, genomics

2025

Conditional Deep Learning Model Reveals Translation Elongation Determinants during Amino Acid Deprivation

M. V. Nallapareddy; F. Craighero; L. Worpenberg; F. Naef; C. Gobet  et al.

Communications Biology. 2025. DOI : 10.1038/s42003-025-09092-7.

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Exploring Query-to-reference Mapping Challenges for Automated Single-Cell Atlas-based Diagnostics

F. Craighero; D. Maspero; L. Jiménez-Gracia; S. Aguilar-Fernández; M. Boulougouri  et al.

2025. Learning Meaningful Representations of Life (LMRL) Workshop at ICLR 2025, Singapore, 2025-04-28.

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2024

Beyond fine-tuning: LoRA modules boost near-OOD detection and LLM security

E. Salimbeni; F. Craighero; R. Khasanova; M. Vasic; P. Vandergheynst

2024. ICLR 2024, Vienna, Austria, 2024-05-07 - 2024-05-11.

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Towards improving full-length ribosome density prediction by bridging sequence and graph-based representations

M. V. Nallapareddy; F. Craighero; F. Naef; C. Gobet; P. Vandergheynst

2024. 19th Machine Learning in Computational Biology meeting, Seattle, WA, USA, 2024-09-05 - 2024-09-06.

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Beyond fine-tuning: LoRA modules boost near-OOD detection and LLM security

E. Salimbeni; F. Craighero; R. Khasanova; M. Vasic; P. Vandergheynst

2024. 7th Deep Learning Security and Privacy Workshop, San Francisco, CA, May 23, 2024.

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2023

Interpretable Inflammation Landscape of Circulating Immune cells

L. Jiménez-Gracia; D. Maspero; S. Aguilar-Fernández; F. Craighero; S. Ruiz  et al.

2023

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