Defesa de Proposta de Tese: Alan Lucas Silva Matias
Data da publicação: 4 de julho de 2024. Categoria: Notícias, Proposta de Tese
Título: Deep Representation Learning and Amortized Inference for Gaussian Processes Data: 10/07/2024 Horário: 14h Local: Online (meet.google.com/aig-uqjs-nve) Resumo: Deep Kernel Learning (DKL) enables using Gaussian Process (GP) models for complex data domains (e.g. images and graphs) by coupling standard kernels and deep neural networks. However, training DKL is challenging and often leads to overfitting. Most notably, DKL […]
