Papers

• An Optimisation Framework for the Well-Conditioned Training of Physics-Informed Neural Networks (2026)
  Joseph Webb et al.
  5.01
• From Spectral Methods to Sample Complexity Bounds for Fourier Neural Operators (2026)
  Nisha Chandramoorthy et al.
  4.39
• GAIA: Geometry-Adaptive Operator Learning for Forward and Inverse Problems (2026)
  Meenakshi Krishnan et al.
  4.39
• Geometry-Aware R-Structured Kolmogorov-Arnold Networks (2026)
  Sergei Kucherenko et al.
  4.39
• Exploiting Task-Based Parallelism for the Red-Black Gauss-Seidel Method on 2D Grids (2026)
  Shiting Long et al.
  4.39
• Structure of the Circular-Dyadic Convolution Error (2026)
  Ben Fauber et al.
  4.39
• Spectral Higher-Order Neural Networks Have Sharp Expressivity Bounds (2026)
  Gianluca Peri et al.
  4.39
• Operator-Informed Gaussian Processes for Complex Helmholtz Wavefields: From Synthetic Benchmarks to In Vivo Brain Elastography (2026)
  Boyuan Deng et al.
  2.00
• Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement (2026)
  Guoming Li et al.
  2.00
• Convergence analysis of a family of Zermelo-type iterations for the Bradley--Terry model (2026)
  Ruijian Han et al.
  2.00
• Singular value soft-thresholding via the polar decomposition (2026)
  Stephen Becker
  2.00
• Geometry-Conditioned Fourier Neural Operators for Cubic Nonlinear Schrodinger Dynamics on Periodic Domains (2026)
  Emmanuel E. Oguadimma et al.
  1.94
• Approximation and learning of anisotropic and mixed smooth functions by deep ReLU neural networks (2026)
  Yunfei Yang et al.
  1.89
• DP-EMAR: A Differentially Private Framework for Autonomous Model Weight Repair in Federated IoT Systems (2025)
  Chethana Prasad Kabgere et al.
  1.61
• Power Transform Revisited: Numerically Stable, and Federated (2025)
  Xuefeng Xu and Graham Cormode
  1.50
• Numerical Fragility in Transformers: A Layer-wise Theory for Risk Estimation and Selective Stabilization (2025)
  Jinwoo Baek
  1.50
• Spatially-Enhanced Temporal Fusion Transformer: Interpretable Multi-Output Prediction for Parametric Dynamical Systems with Time-Varying Inputs (2025)
  Shuwen Sun et al.
  1.22
• Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks (2024)
  Xin-Chun Li et al.
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