193 citations · 197 across the 5 of their papers we have counts for
5 papers
Modelos Generativos basados en Mecanismos de Difusión
Jordi de la Torre
Diffusion-based generative models are a design framework that allows generating new images from processes analogous to those found in non-equilibrium thermodynamics. These models m…
Autocodificadores Variacionales (VAE) Fundamentos Teóricos y Aplicaciones
Jordi de la Torre
VAEs are probabilistic graphical models based on neural networks that allow the coding of input data in a latent space formed by simpler probability distributions and the reconstru…
Redes Generativas Adversarias (GAN) Fundamentos Teóricos y Aplicaciones
Jordi de la Torre
Generative adversarial networks (GANs) are a method based on the training of two neural networks, one called generator and the other discriminator, competing with each other to gen…
Transformadores: Fundamentos teoricos y Aplicaciones
Jordi de la Torre
Transformers are a neural network architecture originally developed for natural language processing, which have since become a foundational tool for solving a wide range of problem…
A Deep Learning Interpretable Classifier for Diabetic Retinopathy Disease Grading
Jordi de la Torre, Aida Valls, Domenec Puig
Deep neural network models have been proven to be very successful in image classification tasks, also for medical diagnosis, but their main concern is its lack of interpretability.…