Author

Khuong An Nguyen

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Open access Aug 2026

Preface to 'advancing uncertainty quantification in artificial intelligence systems using conformal prediction'.

As artificial intelligence (AI) systems are being widely deployed in safety-critical and high-stakes applications (e.g. medical diagnosis, autonomous vehicles, financial risk assessment), there is a growing demand for providing reliable and trustworthy machine predictions. However, since AI models become more complex i...

Khuong An Nguyen, R. F. Barber, Vicky Copley et al. · Philosophical transactions.... · 0 citations

Open access Aug 2026

Uncertainty quantification in train delay prediction with conformal prediction.

Predicting train delays is crucial for railway operations and passenger experience, but point predictions fail to capture uncertainty, limiting their use in risk-aware decisions. Existing uncertainty quantification (UQ) methods often rely on unverifiable assumptions and produce miscalibrated intervals. This paper evalu...

Rui Luo, Xiaoyi Su, Khuong An Nguyen · Philosophical transactions.... · 1 citation

Review Open access Aug 2026

Uncertainty-aware large language models: a scoping review of conformal prediction methods.

A comprehensive review and analysis of conformal prediction for LLMs is presented and a novel taxonomy that categorises existing methods into six groups is proposed, suggesting that conformal methods for LVLMs exhibit a stronger coverage-informativeness trade-off than those for LLMs.

Alice E. Ashby, Khuong An Nguyen, Zhi-Yuan Luo · Philosophical transactions.... · 1 citation