Creating a 3D shape design from free-hand sketches is a challenging task due to the sparse and ambiguous information from sketches. In this work, we propose DualShape, a sketch-based 3D shape design ...

This work presents parameterized deep quantile regression for short-term probabilistic net-load forecasting at the distribution level. To be precise, we use a Deep Neural Network (DNN) to learn both ...