Papers

• Score-Based Stabilization for Time-Dependent Problems (2026)
  Eshed Gal et al.
  2.00
• Quantum Speedups for Stochastic Optimization with Heavy-Tailed Noise (2026)
  Bin Luo et al.
  2.00
• Rigorous Error Certification for Neural PDE Solvers: From Empirical Residuals to Solution Guarantees (2026)
  Amartya Mukherjee et al.
  1.78
• Algorithms and Scientific Software for Quasi-Monte Carlo, Fast Gaussian Process Regression, and Scientific Machine Learning (2025)
  Aleksei G. Sorokin
  1.56
• SPIKE: Stable Physics-Informed Kernel Evolution Method for Solving Hyperbolic Conservation Laws (2025)
  Hua Su et al.
  1.50
• Shape optimization of metastable states (2025)
  No\'e Blassel and Tony Leli\`evre and Gabriel Stoltz
  1.33
• A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees (2025)
  Yuhao Zhou et al.
  1.06
• Reducing operator complexity in Algebraic Multigrid with Machine Learning Approaches (2023)
  Ru Huang et al.
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• A Deep-Genetic Algorithm (Deep-GA) Approach for High-Dimensional Nonlinear Parabolic Partial Differential Equations (2023)
  Endah Rokhmati Merdika Putri et al.
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• Accelerating Legacy Numerical Solvers by Non-intrusive Gradient-based Meta-solving (2024)
  Sohei Arisaka and Qianxiao Li
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