Jiaming Song | Software

Dual Diffusion Implicit Bridges for Image-to-Image Translation, ICLR 2023
JPEG Artifact Correction using Denoising Diffusion Restoration Models, NeurIPS 2022 SBM Workshop
Denoising Diffusion Restoration Models, NeurIPS 2022
A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022
SDEdit: Image Synthesis and Editing with Stochastic Differential Equations, ICLR 2022
IS-COUNT: Large-scale Object Counting from Satellite Images with Covariate-based Importance Sampling, AAAI 2022
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation, NeurIPS 2021
IQ-Learn: Inverse soft-Q Learning for Imitation, NeurIPS 2021
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation, NeurIPS 2021
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems, NeurIPS 2021
Denoising Diffusion Implicit Models, ICLR 2021
Negative Data Augmentation, ICLR 2021
Improved Autoregressive Modeling with Distribution Smoothing, ICLR 2021
Permutation Invariant Graph Generation via Score-Based Generative Modeling, AISTATS 2020
Gaussianization Flows, AISTATS 2020
Bridging the Gap Between f-GANs and Wasserstein GANs, ICML 2020
Understanding the Limitations of Variational Mutual Information Estimators, ICLR 2020
Calibrated Model-based Deep Reinforcement Learning, ICML 2019
Multi-agent Adversarial Inverse Reinforcement Learning, ICML 2019
Learning Controllable Fair Representations, AISTATS 2019
Multi-Agent Generative Adversarial Imitation Learning, NeurIPS 2018
Bias and Generalization in Deep Generative Models: An Empirical Study, NeurIPS 2018
The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models, UAI 2018
Accelerating Natural Gradient with Higher-Order Invariance, ICML 2018
Adversarial Constraint Learning for Structured Prediction, IJCAI 2018
A-NICE-MC: Adversarial training for MCMC, NeurIPS 2017
InfoGAIL: Interpretable imitation learning from visual demonstrations, NeurIPS 2017
Learning Hierarchical Features from Deep Generative Models, ICML 2017