Papers

• Benchmarking Deep Learning Approaches for AEC Engineering Drawing Layout Detection and Information Extraction (2026)
  Tianyang Huang et al.
  5.01
• SNAP-FM: Sparse Nonlinear Accelerated Projection for Physics-Constrained Generative Modeling (2026)
  Alaina Kolli et al.
  4.39
• Dual-domain fused LSTM modeling for efficient time-dependent reliability analysis (2026)
  Yixin Zhang et al.
  4.39
• Generalized Kalman filter based temporal difference reinforcement learning (2026)
  Vasos Arnaoutis et al.
  4.39
• AI-Driven Surrogate Models for Predicting Electrode-Scale Discharge Behavior in Lithium-Ion Batteries (2026)
  Mengda Xing (CRIL et al.
  4.39
• In-span learning: adapting reduced-order models using their own predictions (2026)
  Amirpasha Hedayat et al.
  2.00
• Longitudinal Random Forests for Sparse and Irregular Response Trajectories (2026)
  Yangsheng Wang et al.
  2.00
• Latent PDE mapping for efficient physics-informed learning across geometries with limited data (2026)
  Ingvild Askim Adde et al.
  2.00
• General Value Functions for Remaining Useful Life and Failure-Mode Prediction (2026)
  Hao Yan et al.
  2.00
• Learning Ergodic Dynamical Systems from a Finite Trajectory (2026)
  Oleksii Kachaiev et al.
  2.00
• From Adam to Adam-Like Lagrangians: Second-Order Nonlocal Dynamics (2026)
  Carlos Heredia
  1.72
• Spatially-Enhanced Temporal Fusion Transformer: Interpretable Multi-Output Prediction for Parametric Dynamical Systems with Time-Varying Inputs (2025)
  Shuwen Sun et al.
  1.22
• tLaSDI: Thermodynamics-informed latent space dynamics identification (2024)
  Jun Sur Richard Park et al.
  —
• Generalized Gaussian Temporal Difference Error for Uncertainty-aware Reinforcement Learning (2024)
  Seyeon Kim et al.
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