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2020 – today
- 2026
[i10]Jiaqi Han, Juntong Shi, Puheng Li, Haotian Ye, Qiushan Guo, Stefano Ermon:
Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration. CoRR abs/2603.01623 (2026)- [i9]Jiaqi Han, Puheng Li, Qiushan Guo, Renyuan Xu, Stefano Ermon, Emmanuel J. Candès:
One-Step Generative Modeling via Wasserstein Gradient Flows. CoRR abs/2605.11755 (2026) - 2025
- [c4]Keyao Zhan, Puheng Li, Lei Wu:
Analyzing the Role of Permutation Invariance in Linear Mode Connectivity. AISTATS 2025: 2557-2565 - [c3]Jiaqi Han, Haotian Ye, Puheng Li, Minkai Xu, James Zou, Stefano Ermon:
CHORDS: Diffusion Sampling Accelerator with Multi-Core Hierarchical ODE Solvers. ICCV 2025: 19386-19395 - [i8]Keyao Zhan, Puheng Li, Lei Wu:
Analyzing the Role of Permutation Invariance in Linear Mode Connectivity. CoRR abs/2503.06001 (2025) - [i7]Jiaqi Han, Haotian Ye, Puheng Li, Minkai Xu, James Zou, Stefano Ermon:
CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solvers. CoRR abs/2507.15260 (2025) - [i6]Puheng Li, Tijana Zrnic, Emmanuel J. Candès:
Robust Sampling for Active Statistical Inference. CoRR abs/2511.08991 (2025) - [i5]Haotian Ye, Kaiwen Zheng, Jiashu Xu, Puheng Li, Huayu Chen, Jiaqi Han, Sheng Liu, Qinsheng Zhang, Hanzi Mao, Zekun Hao, Prithvijit Chattopadhyay, Dinghao Yang, Liang Feng, Maosheng Liao, Junjie Bai, Ming-Yu Liu, James Zou, Stefano Ermon:
Data-regularized Reinforcement Learning for Diffusion Models at Scale. CoRR abs/2512.04332 (2025) - [i4]Haotian Ye, Qiyuan He, Jiaqi Han, Puheng Li, Jiaojiao Fan, Zekun Hao, Fitsum Reda, Yogesh Balaji, Huayu Chen, Sheng Liu, Angela Yao, James Zou, Stefano Ermon, Haoxiang Wang, Ming-Yu Liu:
InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression. CoRR abs/2512.16975 (2025) - 2024
- [i3]Zhanran Lin, Puheng Li, Lei Wu:
Exploring Neural Network Landscapes: Star-Shaped and Geodesic Connectivity. CoRR abs/2404.06391 (2024) - 2023
- [c2]Puheng Li, James Zou, Linjun Zhang:
FaiREE: fair classification with finite-sample and distribution-free guarantee. ICLR 2023 - [c1]Puheng Li, Zhong Li, Huishuai Zhang, Jiang Bian:
On the Generalization Properties of Diffusion Models. NeurIPS 2023 - [i2]Puheng Li, Zhong Li, Huishuai Zhang, Jiang Bian:
On the Generalization Properties of Diffusion Models. CoRR abs/2311.01797 (2023) - 2022
- [i1]Puheng Li, James Zou, Linjun Zhang:
FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee. CoRR abs/2211.15072 (2022)
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