Author

Alexander G. Stapleton

Observed names: A G Stapleton, A. G. Stapleton, Alexander G Stapleton, Stapleton, Alexander, Stapleton, Alexander G., Stapleton, Alexander George

Institution: Queen Mary University of London

Observed institution: Queen Mary University of London

ORCID: 0009-0009-6784-7779

Observed ORCID: 0009-0009-6784-7779

OpenAlex ID: A5091983021

Bootstrability in line-defect CFTs with improved truncation methods

2023 · V. Niarchos, C. Papageorgakis, et al. · Physical review. D/Physical review. D. · 27

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Bayesian renormalization

2023 · David S Berman, Marc S Klinger, et al. · Machine Learning Science and Technology · 21

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NCoder—a quantum field theory approach to encoding data

2025 · D S Berman, M S Klinger, et al. · Machine Learning Science and Technology · 4

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Bayesian RG flow in neural network field theories

2025 · Jessica N. Howard, Marc Klinger, et al. · SciPost Physics Core · 4

AInstein: numerical Einstein metrics via machine learning

2025 · Edward Hirst, Tancredi Schettini Gherardini, et al. · AI for Science · 1

Do Quantum Models Scale Like LLMs?

2026 · Berman, David S., Kao, Ying-Jer, et al. · arXiv (Cornell University)

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Black Hole Black Boxes: Numerical Black Hole Metrics via AInstein Neural Networks

2026 · Gherardini, Tancredi Schettini, Hirst, Edward, et al. · arXiv (Cornell University)

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Efficient conformal block evaluation with a novel software implementation

2026 · J. Chryssanthacopoulos, V. Niarchos, et al. · Physical review. D/Physical review. D.

When Does Critique Improve AI-Assisted Theoretical Physics? SCALAR: Structured Critic--Actor Loop for Agentic Reasoning

2026 · Niarchos, Vasilis, Papageorgakis, Constantinos, et al. · arXiv (Cornell University)

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Grokking vs learning: same features, different encodings

2026 · Dmitry Manning-Coe, Jacopo Gliozzi, et al. · Machine Learning Science and Technology

Ising samples 16x16 lattice, 2d, grokking vs learning

2026 · Manning-Coe, Dmitry, Gliozzi, Jacopo, et al. · Zenodo (CERN European Organization for Nuclear Research)

A Machine Learning Approach to the Nirenberg Problem

2026 · Cortés, Gianfranco, Esteban-Casadevall, Maria, et al. · arXiv (Cornell University)

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Towards Worst-Case Guarantees with Scale-Aware Interpretability

2026 · Greenspan, Lauren, Berman, David, et al. · arXiv (Cornell University)

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A path to natural language through tokenisation and transformers

2026 · Berman, David S., Stapleton, Alexander G. · arXiv (Cornell University)

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Conformal Blocks for BootSTOP

2023 · Niarchos, Vasilis, Papageorgakis, Constantinos, et al. · Zenodo (CERN European Organization for Nuclear Research)

Works count: 15

Citation count: 57

H-index: 4

I10-index: 2