Search Results for author:
Found 3 papers, 0 papers with code
Unleashing the Power of Gradient Signal-to-Noise Ratio for Zero-Shot NAS
Neural Architecture Search (NAS) aims to automatically find optimal neural network architectures in an efficient way.
RefineGAN: Universally Generating Waveform Better than Ground Truth with Highly Accurate Pitch and Intensity Responses
To address this problem, we propose RefineGAN, a high-fidelity neural vocoder focused on the robustness, pitch and intensity accuracy, and high-speed full-band audio generation.
Distributed System Identification for Linear Stochastic Systems with Binary Sensors
The problem of distributed identification of linear stochastic system with unknown coefficients over time-varying networks is considered.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
