Jiaming Song

papers

3,429

total citations

papers (22)

Denoising Diffusion Restoration Models

NEURIPS 2022arXiv

1,130

citations

CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation

NEURIPS 2021arXiv

850

citations

Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems

NEURIPS 2021arXiv

citations

LISA: Learning Interpretable Skill Abstractions from Language

NEURIPS 2022arXiv

citations

Autoregressive Score Matching

NEURIPS 2020arXiv

citations

Personalized Preference Fine-tuning of Diffusion Models

CVPR 2025arXiv

citations

Robust and On-the-fly Dataset Denoising for Image Classification

ECCV 2020arXiv

citations

Decentralized Diffusion Models

CVPR 2025arXiv

citations

Pseudo-Spherical Contrastive Divergence

NEURIPS 2021arXiv

citations

Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning

AAAI 2024arXiv

citations

BigDL 2.0: Seamless Scaling of AI Pipelines From Laptops to Distributed Cluster

CVPR 2022arXiv

citations

D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation

NEURIPS 2021

citations

Imitation with Neural Density Models

NEURIPS 2021arXiv

citations

Jiaming Song

papers (22)

Denoising Diffusion Restoration Models

CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation

PhysDiff: Physics-Guided Human Motion Diffusion Model

IQ-Learn: Inverse soft-Q Learning for Imitation

A Variational Perspective on Solving Inverse Problems with Diffusion Models

Concrete Score Matching: Generalized Score Matching for Discrete Data

DiffCollage: Parallel Generation of Large Content With Diffusion Models

Affordance Diffusion: Synthesizing Hand-Object Interactions

Inductive Moment Matching

Multi-label Contrastive Predictive Coding

Belief Propagation Neural Networks

Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems

LISA: Learning Interpretable Skill Abstractions from Language

Autoregressive Score Matching

Personalized Preference Fine-tuning of Diffusion Models

Robust and On-the-fly Dataset Denoising for Image Classification

Decentralized Diffusion Models

Pseudo-Spherical Contrastive Divergence

Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning

BigDL 2.0: Seamless Scaling of AI Pipelines From Laptops to Distributed Cluster

D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation

Imitation with Neural Density Models

papers (22)

Denoising Diffusion Restoration Models

CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation

PhysDiff: Physics-Guided Human Motion Diffusion Model

IQ-Learn: Inverse soft-Q Learning for Imitation

A Variational Perspective on Solving Inverse Problems with Diffusion Models

Concrete Score Matching: Generalized Score Matching for Discrete Data

DiffCollage: Parallel Generation of Large Content With Diffusion Models

Affordance Diffusion: Synthesizing Hand-Object Interactions

Inductive Moment Matching

Multi-label Contrastive Predictive Coding

Belief Propagation Neural Networks

Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems

LISA: Learning Interpretable Skill Abstractions from Language

Autoregressive Score Matching

Personalized Preference Fine-tuning of Diffusion Models

Robust and On-the-fly Dataset Denoising for Image Classification

Decentralized Diffusion Models

Pseudo-Spherical Contrastive Divergence

Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning

BigDL 2.0: Seamless Scaling of AI Pipelines From Laptops to Distributed Cluster

D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation

Imitation with Neural Density Models