GitHub

SvmKernel: Optimizing Hyperparameter Tuning for Real-Time Non-Linear Separability in Distributed, Scalable Machine Learning Classifier Implementation

Advanced python solution leveraging modern architecture patterns and cutting-edge technology. Optimizing Hyperparameter Tuning for Real-Time Non-Linear Separability in Distributed, Scalable Machine ...
IEEE

Linking Physical Fidelity to Downstream Performance in Physics-Informed Fault Diagnosis

Abstract: A critical question in Scientific Machine Learning is whether improving a Physics-Informed Neural Network’s (PINN) physical fidelity translates into downstream task performance. We ...
IEEE

Better Exploiting Spatial Separability in Multichannel Speech Enhancement with an Align-and-Filter Network

Abstract: Multichannel speech enhancement (SE) techniques combine multiple microphone signals to extract clean speech from noisy mixtures based on spatial filtering. As the target speech may come from ...