GitHub

Learning Nonlinear Dynamics in Physical Modelling Synthesis using Neural Ordinary Differential Equations

audio/ includes all sound examples for the datasets used in the paper. Some of these sound examples are presented on the accompanying web-page. cfg/ includes configuration files for experiments. src/ ...
IEEE

LASSO Regression-Based DBF Technique for Waveform Decoupling of MIMO-SAR With Nonlinear Array Configuration

Abstract: Waveform decoupling is usually considered a more technical challenge for fully exploiting the potential benefits provided by multiple-input–multiple-output (MIMO) synthetic aperture radar ...
IEEE

Control Occupation Kernel Regression for Nonlinear Control-Affine Systems

Abstract: This manuscript presents an algorithm for obtaining an approximation of a nonlinear high order control affine dynamical system. Controlled trajectories of the system are leveraged as the ...
marktechpost

A Coding Implementation to Establish Rigorous Prompt Versioning and Regression Testing Workflows for Large Language Models using MLflow

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...