Willis (Nanye) Ma
@nanye-ma.bsky.social
PhD at NYU Courant | undergrad at NYU
Inference-time scaling for LLMs improves the model's ability in many perspectives, but what about diffusion models?
In our latest study—Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps—we reframe inference-time scaling as a search problem over sampling noises. 🧵[1/n]
In our latest study—Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps—we reframe inference-time scaling as a search problem over sampling noises. 🧵[1/n]
January 17, 2025 at 4:50 PM
Inference-time scaling for LLMs improves the model's ability in many perspectives, but what about diffusion models?
In our latest study—Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps—we reframe inference-time scaling as a search problem over sampling noises. 🧵[1/n]
In our latest study—Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps—we reframe inference-time scaling as a search problem over sampling noises. 🧵[1/n]