Alexander G. Stapleton

According to our database, Alexander G. Stapleton authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

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

Vasilis Niarchos, Constantinos Papageorgakis, Alexander G. Stapleton, Sokratis Trifinopoulos

CoRR, May, 2026

A Machine Learning Approach to the Nirenberg Problem.

Gianfranco Cortés, Maria Esteban-Casadevall, Yueqing Feng, Jonas Henkel, Edward Hirst, Tancredi Schettini Gherardini, Alexander G. Stapleton

CoRR, February, 2026

Towards Worst-Case Guarantees with Scale-Aware Interpretability.

Lauren Greenspan, David S. Berman, Aryeh Brill, Ro Jefferson, Artemy Kolchinsky, Jennifer Lin, Andrew Mack, Anindita Maiti, Fernando E. Rosas, Alexander G. Stapleton, Lucas Teixeira, Dmitry Vaintrob

CoRR, February, 2026

A path to natural language through tokenisation and transformers.

David S. Berman, Alexander G. Stapleton

CoRR, January, 2026

2025

Grokking vs. Learning: Same Features, Different Encodings.

Dmitry Manning-Coe, Jacopo Gliozzi, Alexander G. Stapleton, Edward Hirst, Giuseppe De Tomasi, Barry Bradlyn, David S. Berman

CoRR, February, 2025

NCoder - a quantum field theory approach to encoding data.

David S. Berman, Marc S. Klinger, Alexander G. Stapleton

Mach. Learn. Sci. Technol., 2025

2024

Bayesian RG Flow in Neural Network Field Theories.

Jessica N. Howard, Marc S. Klinger, Anindita Maiti, Alexander G. Stapleton

CoRR, 2024

2023

Bayesian renormalization.

David S. Berman, Marc S. Klinger, Alexander G. Stapleton

Mach. Learn. Sci. Technol., December, 2023