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cs.LG2026
Learning Sampling Parameters for Diffusion Models
Arisrei Lim, Yossi Gandelsman
Text-to-image diffusion models expose many inference-time sampling parameters, including prompts, negative prompts, classifier-free guidance scales, and noise schedules. These para…
cs.LG2024
Reinforcement Learning for Dynamic Memory Allocation
Arisrei Lim, Abhiram Maddukuri
In recent years, reinforcement learning (RL) has gained popularity and has been applied to a wide range of tasks. One such popular domain where RL has been effective is resource ma…