Online Estimation and Coverage Control with Heterogeneous Sensing Information. - Andrew McDonald 003; Lai Wei 002; Vaibhav Srivastava (CCTA, 2021)

Multi-Robot Gaussian Process Estimation and Coverage: Deterministic Sequencing Algorithm and Regret Analysis. - Lai Wei 002; Andrew McDonald 003; Vaibhav Srivastava (ICRA, 2021)

Virtual Outreach: Lessons from a Coding Club's Response to COVID-19. - Andrew McDonald 003; Laura K. Dillon (SIGCSE, 2021)

Regret Analysis of Distributed Gaussian Process Estimation and Coverage. - Lai Wei 002; Andrew McDonald 003; Vaibhav Srivastava (CoRR, 2021)

DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data. - Asadullah Hill Galib; Andrew McDonald 003; Tyler Wilson; Lifeng Luo; Pang-Ning Tan (IJCAI, 2022)

COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence. - Andrew McDonald 003; Pang-Ning Tan; Lifeng Luo (IJCAI, 2022)

Beyond Point Prediction: Capturing Zero-Inflated & Heavy-Tailed Spatiotemporal Data with Deep Extreme Mixture Models. - Tyler Wilson; Andrew McDonald 003; Asadullah Hill Galib; Pang-Ning Tan; Lifeng Luo (KDD, 2022)

Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning. - Asadullah Hill Galib; Andrew McDonald 003; Pang-Ning Tan; Lifeng Luo (IJCAI, 2023)

Interrogating Sea Ice Predictability With Gradients. - Harald L. Joakimsen; Iver Martinsen; Luigi Tommaso Luppino; Andrew McDonald 003; Scott Hosking; Robert Jenssen (IEEE Geosci. Remote. Sens. Lett., 2024)

Investigating the Impact of Feature Reduction for Deep Learning-based Seasonal Sea Ice Forecasting. - Lars Uebbing; Harald L. Joakimsen; Luigi Tommaso Luppino; Iver Martinsen; Andrew McDonald 003; Kristoffer Knutsen Wickstrøm; Sébastien Lefèvre; Arnt-Børre Salberg; Scott Hosking; Robert Jenssen (NLDL, 2025)