Publications (11)
NOMAD 2018 Kaggle Competition: Solving Materials Science Challenges Through Crowd Sourcing
Christopher Sutton, Luca M. Ghiringhelli, Takenori Yamamoto +7
Machine learning (ML) is increasingly used in the field of materials science, where statistical estimates of computed properties are employed to rapidly examine the chemical space…
Accessing the transport properties of pristine few-layer black phosphorus by van der Waals passivation in inert atmosphere
Rostislav A. Doganov, Eoin C. T. O'Farrell, Steven P. Koenig +9
Ultrathin black phosphorus, or phosphorene, is the second known elementary two-dimensional material that can be exfoliated from a bulk van der Waals crystal. Unlike graphene it is…
Disentangling Ambiguity from Instability in Large Language Models: A Clinical Text-to-SQL Case Study
Angelo Ziletti, Leonardo D'Ambrosi
Deploying large language models for clinical Text-to-SQL requires distinguishing two qualitatively different causes of output diversity: (i) input ambiguity that should trigger cla…
Coherent quantum transport in a star graph
Angelo Ziletti
A multi-branch quantum circuit is considered from the viewpoint of coherent electron or wave transport. Starting with the closed system, we give analytical conditions for the appea…
Biomedical Data-to-Text Generation via Fine-Tuning Transformers
Ruslan Yermakov, Nicholas Drago, Angelo Ziletti
Data-to-text (D2T) generation in the biomedical domain is a promising - yet mostly unexplored - field of research. Here, we apply neural models for D2T generation to a real-world d…
Retrieval augmented text-to-SQL generation for epidemiological question answering using electronic health records
Angelo Ziletti, Leonardo D'Ambrosi
Electronic health records (EHR) and claims data are rich sources of real-world data that reflect patient health status and healthcare utilization. Querying these databases to answe…