Subramanian, Shashank

5 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

NeurIPS 2023 Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior Shashank Subramanian, Peter Harrington, Kurt Keutzer, Wahid Bhimji, Dmitriy Morozov, Michael W. Mahoney, Amir Gholami

TMLR 2023 Towards Stability of Autoregressive Neural Operators Michael McCabe, Peter Harrington, Shashank Subramanian, Jed Brown