GitHub

Exact 3D Greens Function Integrations on Triangles

We compute analytically the Green's and its gradient and product with linear functions on a triangle T in R3. Let x be an evaluation point, r(x,y) = |y-x| and Let h(x) be a linear function on the ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
IEEE

Leveraging Simplex Gradient Variance and Bias Reduction for Black-Box Optimization of Noisy and Costly Functions

Gradient variance errors in gradient-based search methods are largely mitigated using momentum, however the bias gradient errors may fail the numerical search methods in reaching the true optimum. We ...
IEEE

Gradient-Aware Loss Function for Improved Learning in Speech Enhancement

Abstract: Conventional loss functions for gradient descent are designed mainly to assess output quality, with limited attention to gradient behavior. This study identifies the gradient inconsistency ...