Contributed talk #2
2025
in
Workshop: Structured Probabilistic Inference and Generative Modeling
in
Workshop: Structured Probabilistic Inference and Generative Modeling
Abstract
Inference-time scaling of diffusion models through classical search (Xiangcheng Zhang) Posterior Inference in Latent Space for Scalable Constrained Black-box Optimization (Kiyoung Om) When rule learning breaks: Diffusion Fails to Learn Parity of Many Bits (Binxu Wang)
Video
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