Abstract: This paper proposes a B-format Ambisonic room impulse response (RIR) generator based on a conditional generative adversarial network (CGAN). The B-format RIR is a first-order Ambisonics (FOA ...

Abstract: Deep learning models have the potential to improve the accuracy and speed of medical microwave imaging. However, their performance often suffers due to a lack of high-quality data.

We introduce GenAI4UQ, a software package for inverse uncertainty quantification in model calibration, parameter estimation, and ensemble forecasting. GenAI4UQ leverages a generative AI-based ...