Ren, Pu

6 publications

DMLR 2025 SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning Pu Ren, N. Benjamin Erichson, Junyi Guo, Shashank Subramanian, Omer San, Zarija Lukic, Michael W. Mahoney

NeurIPS 2024 Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning Wuyang Chen, Jialin Song, Pu Ren, Shashank Subramanian, Dmitriy Morozov, Michael W. Mahoney

ICLRW 2024 Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning Wuyang Chen, Jialin Song, Pu Ren, Shashank Subramanian, Dmitriy Morozov, Michael W. Mahoney

ICLR 2024 Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs Ilan Naiman, N. Benjamin Erichson, Pu Ren, Michael W. Mahoney, Omri Azencot

NeurIPS 2024 P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for Efficient Prediction of Spatiotemporal Dynamics Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu

ICLR 2022 Discovering Nonlinear PDEs from Scarce Data with Physics-Encoded Learning Chengping Rao, Pu Ren, Yang Liu, Hao Sun