Papers

• DualityCert: Verifier-Gated Language-Model Repair of Broken Duality Claims in Quantum Field Theory (2026)
  Xingyang Yu
  1.94
• A user's guide to PINNs in geometric analysis: lessons from the asymptotic Plateau problem (2026)
  Tancredi Schettini Gherardini
  1.94
• CayleyPy-4: AI-Holography. Towards analogs of holographic string dualities for AI tasks (2026)
  A. Chervov et al.
  1.72
• Exploring the holographic entropy cone via reinforcement learning (2026)
  Temple He et al.
  1.61
• CayleyPy Growth: Efficient growth computations and hundreds of new conjectures on Cayley graphs (Brief version) (2025)
  A. Chervov et al.
  1.39
• AdS-GNN -- a Conformally Equivariant Graph Neural Network (2025)
  Maksim Zhdanov and Nabil Iqbal and Erik Bekkers and Patrick Forr\'e
  1.17
• Graph Laplacians, Riemannian Manifolds and their Machine-Learning (2020)
  Yang-Hui He et al.
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• Cluster Algebras: Network Science and Machine Learning (2022)
  Pierre-Philippe Dechant et al.
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• Graph Neural Networks and 3-Dimensional Topology (2023)
  Pavel Putrov and Song Jin Ri
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• A charge-preserving method for solving graph neural diffusion networks (2023)
  Lidia Aceto and Pietro Antonio Grassi
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• Detecting Homeomorphic 3-manifolds via Graph Neural Networks (2024)
  Craig Lawrie et al.
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• Machines and Mathematical Mutations: Using GNNs to Characterize Quiver Mutation Classes (2024)
  Jesse He et al.
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