Song Han

arXiv.org · with Diao · 2025

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Song Han trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Daniel T. Gillespie (in Statistical and Nonlinear Physics)

Papers from Song Han's perspective

Ordered by how strongly the researchers Song Han trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Structured Denoising Diffusion Models in Discrete State-Spaces
  2. Approximate accelerated stochastic simulation of chemically reacting systems
  3. BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
  4. A Continuous Time Framework for Discrete Denoising Models (Neural Information Processing Systems)
  5. Large Language Diffusion Models (arXiv.org)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
  8. Generative Modeling by Estimating Gradients of the Data Distribution
  9. PixelSNAIL: An Improved Autoregressive Generative Model
  10. Score-Based Generative Modeling through Stochastic Differential Equations

Their papers