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ORCIDAlexander G. Stapleton
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2020 – today
- 2026
[i9]David S. Berman, Alexander G. Stapleton:
A path to natural language through tokenisation and transformers. CoRR abs/2601.03368 (2026)- [i8]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:
Towards Worst-Case Guarantees with Scale-Aware Interpretability. CoRR abs/2602.05184 (2026) - [i7]Gianfranco Cortés, Maria Esteban-Casadevall, Yueqing Feng, Jonas Henkel, Edward Hirst, Tancredi Schettini Gherardini, Alexander G. Stapleton:
A Machine Learning Approach to the Nirenberg Problem. CoRR abs/2602.12368 (2026) - [i6]Vasilis Niarchos, Constantinos Papageorgakis, Alexander G. Stapleton, Sokratis Trifinopoulos:
When Does Critique Improve AI-Assisted Theoretical Physics? SCALAR: Structured Critic-Actor Loop for Agentic Reasoning. CoRR abs/2605.06772 (2026) - [i5]Tancredi Schettini Gherardini, Edward Hirst, Alexander G. Stapleton:
Black Hole Black Boxes: Numerical Black Hole Metrics via AInstein Neural Networks. CoRR abs/2607.05489 (2026) - 2025
- [j2]David S. Berman
, Marc S. Klinger, Alexander G. Stapleton:
NCoder - a quantum field theory approach to encoding data. Mach. Learn. Sci. Technol. 6(2): 25059 (2025) - [i4]Dmitry Manning-Coe, Jacopo Gliozzi, Alexander G. Stapleton, Edward Hirst, Giuseppe De Tomasi, Barry Bradlyn, David S. Berman:
Grokking vs. Learning: Same Features, Different Encodings. CoRR abs/2502.01739 (2025) - 2024
- [i3]David S. Berman, Marc S. Klinger, Alexander G. Stapleton:
NCoder - A Quantum Field Theory approach to encoding data. CoRR abs/2402.00944 (2024) - [i2]Jessica N. Howard, Marc S. Klinger, Anindita Maiti, Alexander G. Stapleton:
Bayesian RG Flow in Neural Network Field Theories. CoRR abs/2405.17538 (2024) - 2023
- [j1]David S. Berman, Marc S. Klinger, Alexander G. Stapleton:
Bayesian renormalization. Mach. Learn. Sci. Technol. 4(4): 45011 (2023) - [i1]David S. Berman, Marc S. Klinger, Alexander G. Stapleton:
Bayesian Renormalization. CoRR abs/2305.10491 (2023)
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