115 citations · 394 across the 14 of their papers we have counts for
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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…
cs.LG2023★ 10 cited
Forecasting steam mass flow in power plants using the parallel hybrid network
Andrii Kurkin, Jonas Hegemann, Mo Kordzanganeh +1
Efficient and sustainable power generation is a crucial concern in the energy sector. In particular, thermal power plants grapple with accurately predicting steam mass flow, which…