Dan Lu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 15

Top Topics

Machine Learning

Prediction Intervals

Trained Neural Networks

Top Venues

ICDM (Workshops)

Environ. Model. Softw.

Publications

Minglei Yang, Pengjun Wang, Ming Fan, Dan Lu, Yanzhao Cao, Guannan Zhang
Conditional Pseudo-Reversible Normalizing Flow for Surrogate Modeling in Quantifying Uncertainty Propagation. CoRR (2024)
Junqi Yin, Siming Liang, Siyan Liu, Feng Bao, Hristo G. Chipilski, Dan Lu, Guannan Zhang
A Scalable Real-Time Data Assimilation Framework for Predicting Turbulent Atmosphere Dynamics. CoRR (2024)
Ming Fan, Siyan Liu, Dan Lu, Sudershan Gangrade, Shih-Chieh Kao
Explainable machine learning model for multi-step forecasting of reservoir inflow with uncertainty quantification. Environ. Model. Softw. 170 (2023)
Siyan Liu, Dan Lu, Daniel M. Ricciuto, Anthony P. Walker
Improving net ecosystem CO2 flux prediction using memory-based interpretable machine learning. ICDM (Workshops) (2022)
Ming Fan, Lujun Zhang, Siyan Liu, Tiantian Yang, Dan Lu
Identifying Hydrometeorological Factors Influencing Reservoir Releases Using Machine Learning Methods. ICDM (Workshops) (2022)
Hoang Tran, Dan Lu, Guannan Zhang
Exploiting the Local Parabolic Landscapes of Adversarial Losses to Accelerate Black-Box Adversarial Attack. ECCV (5) (2022)
Siyan Liu, Pei Zhang, Dan Lu, Guannan Zhang
PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks. ICLR (2022)
Jiaxin Zhang, Hoang Tran, Dan Lu, Guannan Zhang
Enabling long-range exploration in minimization of multimodal functions. UAI (2021)
Siyan Liu, Pei Zhang, Dan Lu, Guannan Zhang
PI3NN: Prediction intervals from three independently trained neural networks. CoRR (2021)
Dan Lu, Daniel M. Ricciuto
Efficient Distance-based Global Sensitivity Analysis for Terrestrial Ecosystem Modeling. ICDM (Workshops) (2020)
Jiaxin Zhang, Hoang Tran, Dan Lu, Guannan Zhang
A Scalable Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization. CoRR (2020)
Shaoxing Mo, Xiaoqing Shi, Dan Lu, Ming Ye, Jichun Wu
An adaptive Kriging surrogate method for efficient uncertainty quantification with an application to geological carbon sequestration modeling. Comput. Geosci. 125 (2019)
Dan Lu, Daniel M. Ricciuto
Learning-Based Inversion-Free Model-Data Integration to Advance Ecosystem Model Prediction. ICDM Workshops (2019)
Dan Lu, Daniel M. Ricciuto
Efficient surrogate modeling methods for large-scale Earth system models based on machine learning techniques. CoRR (2019)
Dan Lu, Siyan Liu, Daniel M. Ricciuto
An Efficient Bayesian Method for Advancing the Application of Deep Learning in Earth Science. ICDM Workshops (2019)
Dan Lu, Ming Ye, Mary C. Hill, Eileen P. Poeter, Gary P. Curtis
A computer program for uncertainty analysis integrating regression and Bayesian methods. Environ. Model. Softw. 60 (2014)