2026 ICML’26 Diffusion Language Model Parallel Decoding via Product-of-Experts Bridge Juntong Shi, Brian L. Trippe, Jure Leskovec, Stefano Ermon, and Minkai Xu In Forty-third International Conference on Machine Learning, 2026 PDF Code CVPR’26 Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration Jiaqi Han*, Juntong Shi*, Puheng Li, Haotian Ye, Qiushan Guo, and Stefano Ermon In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026 PDF Code Website 2025 Preprint RelDiff: Relational Data Generative Modeling with Graph-Based Diffusion Models Valter Hudovernik, Minkai Xu, Juntong Shi, Lovro Šubelj, Stefano Ermon, Erik Štrumbelj, and Jure Leskovec 2025 PDF Code ICLR’25 TabDiff: a Mixed-typed Diffusion Model for Tabular Data Generation Juntong Shi*, Minkai Xu*, Harper Hua*, Hengrui Zhang*, Stefano Ermon, and Jure Leskovec In The Thirteenth International Conference on Learning Representations, 2025 PDF Video Code ICML’25 Smooth Interpolation for Improved Discrete Graph Generative Models Yuxuan Song*, Juntong Shi*, Jingjing Gong*, Minkai Xu, Stefano Ermon, Hao Zhou, and Wei-ying Ma In Forty-second International Conference on Machine Learning, 2025 PDF Code
