Papers

• Neurosymbolic Discovery of Algebraic Graph Constructions (2026)
  David Seka et al.
  4.81
• Neuro-Symbolic Process Anomaly Detection (2026)
  Devashish Gaikwad et al.
  1.72
• LMFD: Latent Monotonic Feature Discovery (2025)
  Guus Toussaint and Arno Knobbe
  1.44
• Taylor-Model Physics-Informed Neural Networks (PINNs) for Ordinary Differential Equations (2025)
  Chandra Kanth Nagesh et al.
  1.28
• Symbolic Foundation Regressor on Complex Networks (2025)
  Weiting Liu and Jiaxu Cui and Jiao Hu and En Wang and Bo Yang
  1.17
• Moment-based Density Elicitation with Applications in Probabilistic Loops (2023)
  Andrey Kofnov et al.
  —
• RecallM: An Adaptable Memory Mechanism with Temporal Understanding for Large Language Models (2023)
  Brandon Kynoch et al.
  —
• Amortized Equation Discovery in Hybrid Dynamical Systems (2024)
  Yongtuo Liu et al.
  —
• ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model (2024)
  Xuanqing Yu et al.
  —