11 citations · 11 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Pixel-wise RL on Diffusion Models: Reinforcement Learning from Rich Feedback
Mo Kordzanganeh, Danial Keshvary, Nariman Arian
Latent diffusion models are the state-of-the-art for synthetic image generation. To align these models with human preferences, training the models using reinforcement learning on h…
quant-ph2023★ 11 cited
A supervised hybrid quantum machine learning solution to the emergency escape routing problem
Nathan Haboury, Mo Kordzanganeh, Sebastian Schmitt +6
Managing the response to natural disasters effectively can considerably mitigate their devastating impact. This work explores the potential of using supervised hybrid quantum machi…