IEEE

CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder With Input Convex Neural Networks

Abstract: In neural architecture search (NAS) methods based on latent space optimization (LSO), a deep generative model is trained to embed discrete neural architectures into a continuous latent space ...
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Learn how to take the derivative using implicit differentiation by taking the ln of both

👉 Learn how to find the derivative of an implicit function. The derivative of a function, y = f(x), is the measure of the rate of change of the function, y, with respect to the variable x. The ...
IEEE

GC-GAT: Multimodal Vehicular Trajectory Prediction Using Graph Goal Conditioning and Cross-Context Attention

Abstract: Predicting future trajectories of surrounding vehicles heavily relies on what contextual information is given to a motion prediction model. The context itself can be static (lanes, ...