Chris Budd

1. Semilinear elliptic equations and supercritical growth
   1987/06/01 by Chris Budd, C Budd, John Norbury +1 · 6 citations
   Mathematics · Computer Science · #Nonlinear Partial Differential Equations #Advanced Mathematical Modeling in Engineering #Geometric Analysis and Curvature Flows
2. Closing the ODE-SDE gap in score-based diffusion models through the Fokker-Planck equation
   2023/11/27 by Teo Deveney, Jan Stanczuk, Deveney, Teo +7 · 2 citations
   Computer Science · Medicine · Physics and Astronomy · #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
3. G-Adaptivity: optimised graph-based mesh relocation for finite element methods
   2024/07/05 by James Rowbottom, Rowbottom, James, Georg Maierhofer +13 · 2 citations
   Computer Science · #Contact Mechanics and Variational Inequalities #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
4. Equidistribution-based training of Free Knot Splines and ReLU Neural Networks
   2024/07/02 by Simone Appella, Appella, Simone, Simon Arridge +7 · 1 citation
   Engineering · #Advanced Numerical Analysis Techniques #Advanced machining processes and optimization
5. Adaptive Correction for Ensuring Conservation Laws in Neural Operators
   2025/05/30 by Chaoyu Liu, Liu, Chaoyu, Yangming Li +7 · 2 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
6. Inverse Evolution Data Augmentation for Neural PDE Solvers
   2025/01/24 by Chaoyu Liu, Chris Budd, Liu, Chaoyu +3 · 1 citation
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications