Papers

• PIEFS: Physics-Informed Eigenfunction Features with Learnable Scaling (2026)
  Varvara Nazarenko et al.
  4.39
• A Physics-Informed Neural Network Framework for Elastodynamic Wave Propagation in Bimaterial Systems (2026)
  Sonal Ankush Chibire et al.
  4.39
• GES-TSP: Graph Edge Sparsification for TSP (2026)
  Tianfeng Chen et al.
  4.39
• A Hyperbolic Neural Closure for M1 Radiation Transfer (2026)
  Bongseok Kim et al.
  4.39
• Repairing Shape-Prior Shortcuts in Long-Range Single-Shot Fringe Projection Profilometry (2026)
  Adam Haroon et al.
  4.39
• Learning to Discretize: Diffusion-Based Adaptive Mesh with Spectral Guidance (2026)
  Zixuan Shen (Central South University) et al.
  4.39
• Contraction-Gauge Preconditioning for Quantized Matrix Multiplication (2026)
  Piyush Sao et al.
  4.39
• On the convergence of graph Laplacians with a symmetric divergence (2026)
  Liane Xu
  3.51
• Kernel-based Operator Learning: Error Analysis, Budget Allocation, and a Physics-Informed Extension (2026)
  R\"udiger Kempf
  3.51
• Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion (2026)
  Shervin Khalafi et al.
  3.51
• Boundary-Adapted PINNs for Elliptic Dirichlet Problems: $H^2(\Omega)$ A Priori Error Bounds with Application to Mean Escape Time Computation (2026)
  Nathanael Tepakbong et al.
  3.51
• 1-Lipschitz Neural Networks on Hadamard Manifolds (2026)
  Davide Murari et al.
  3.51
• PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting (2026)
  Hao Wu et al.
  1.89
• Faster Training of Neural ODEs Using Gau{\ss}-Legendre Quadrature (2023)
  Alexander Norcliffe et al.
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