Image Generation with langevin dynamics

In the field of machine learning, Diffusion Probabilistic Models have emerged as a prominent category of generative models. Their main objective is to learn a diffusion process that describes the probability distribution of a given dataset. The essence of diffusion-based generative models finds its...

Full description

Autores:
Almanza Márquez, David Leonardo
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2024
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/74510
Acceso en línea:
https://hdl.handle.net/1992/74510
Palabra clave:
Diffusion probabilistic models
Machine learning
Statistical physics
Langevin equation
Synthetic data generation
Física
Ingeniería
Rights
openAccess
License
Attribution-NonCommercial 4.0 International