Dan Lu

According to our database, Dan Lu authored at least 14 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Explainable machine learning model for multi-step forecasting of reservoir inflow with uncertainty quantification.

Ming Fan, Siyan Liu, Dan Lu, Sudershan Gangrade, Shih-Chieh Kao

Environ. Model. Softw., December, 2023

2022

PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks.

Siyan Liu, Pei Zhang, Dan Lu, Guannan Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Improving net ecosystem CO2 flux prediction using memory-based interpretable machine learning.

Siyan Liu, Dan Lu, Daniel M. Ricciuto, Anthony P. Walker

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Identifying Hydrometeorological Factors Influencing Reservoir Releases Using Machine Learning Methods.

Ming Fan, Lujun Zhang, Siyan Liu, Tiantian Yang, Dan Lu

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Exploiting the Local Parabolic Landscapes of Adversarial Losses to Accelerate Black-Box Adversarial Attack.

Hoang Tran, Dan Lu, Guannan Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

PI3NN: Prediction intervals from three independently trained neural networks.

Siyan Liu, Pei Zhang, Dan Lu, Guannan Zhang

CoRR, 2021

Enabling long-range exploration in minimization of multimodal functions.

Jiaxin Zhang, Hoang Tran, Dan Lu, Guannan Zhang

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

A Scalable Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization.

Jiaxin Zhang, Hoang Tran, Dan Lu, Guannan Zhang

CoRR, 2020

Efficient Distance-based Global Sensitivity Analysis for Terrestrial Ecosystem Modeling.

Dan Lu, Daniel M. Ricciuto

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019

An adaptive Kriging surrogate method for efficient uncertainty quantification with an application to geological carbon sequestration modeling.

Shaoxing Mo, Xiaoqing Shi, Dan Lu, Ming Ye, Jichun Wu

Comput. Geosci., 2019

Efficient surrogate modeling methods for large-scale Earth system models based on machine learning techniques.

Dan Lu, Daniel M. Ricciuto

CoRR, 2019

Learning-Based Inversion-Free Model-Data Integration to Advance Ecosystem Model Prediction.

Dan Lu, Daniel M. Ricciuto

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

An Efficient Bayesian Method for Advancing the Application of Deep Learning in Earth Science.

Dan Lu, Siyan Liu, Daniel M. Ricciuto

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2014

A computer program for uncertainty analysis integrating regression and Bayesian methods.

Dan Lu, Ming Ye, Mary C. Hill, Eileen P. Poeter, Gary P. Curtis

Environ. Model. Softw., 2014