Johnson, Taylor T

5 publications

NeurIPS 2025 Scaling Data-Driven Probabilistic Robustness Analysis for Semantic Segmentation Neural Networks Navid Hashemi, Samuel Sasaki, Ipek Oguz, Meiyi Ma, Taylor T Johnson

AAAI 2024 Formal Logic Enabled Personalized Federated Learning Through Property Inference Ziyan An, Taylor T. Johnson, Meiyi Ma

ECML-PKDD 2024 Spatial-Temporal PDE Networks for Traffic Flow Forecasting Tianshu Bao, Hua Wei, Junyi Ji, Daniel B. Work, Taylor T. Johnson

IJCAI 2024 Transfer Learning Using Inaccurate Physics Rule for Streamflow Prediction Tianshu Bao, Taylor T. Johnson, Xiaowei Jia

UAI 2022 Physics Guided Neural Networks for Spatio-Temporal Super-Resolution of Turbulent Flows Tianshu Bao, Shengyu Chen, Taylor T Johnson, Peyman Givi, Shervin Sammak, Xiaowei Jia