2 citations · 2 across the 3 of their papers we have counts for
3 papers
Towards SFW sampling for diffusion models via external conditioning
Camilo Carvajal Reyes, Joaquín Fontbona, Felipe Tobar
Score-based generative models (SBM), also known as diffusion models, are the de facto state of the art for image synthesis. Despite their unparalleled performance, SBMs have recent…
Diffusion Self-Weighted Guidance for Offline Reinforcement Learning
Augusto Tagle, Javier Ruiz-del-Solar, Felipe Tobar
Offline reinforcement learning (RL) recovers the optimal policy given historical observations of an agent. In practice, is modeled as a weighted version of the agent's beha…
Avoiding mode collapse in diffusion models fine-tuned with reinforcement learning
Roberto Barceló, Cristóbal Alcázar, Felipe Tobar
Fine-tuning foundation models via reinforcement learning (RL) has proven promising for aligning to downstream objectives. In the case of diffusion models (DMs), though RL training…