| Multi-Robot Gaussian Process Estimation and Coverage: A Deterministic Sequencing Algorithm and Regret Analysis L Wei, A McDonald, V Srivastava 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021 | 12 | 2021 |
| COMET Flows: Towards generative modeling of multivariate extremes and tail dependence A McDonald, PN Tan, L Luo 31st International Joint Conference on Artificial Intelligence (IJCAI-22), 2022 | 7 | 2022 |
| DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data AH Galib, A McDonald, T Wilson, L Luo, PN Tan 31st International Joint Conference on Artificial Intelligence (IJCAI-22), 2022 | 6 | 2022 |
| Virtual Outreach: Lessons from a Coding Club's Response to COVID-19 A McDonald, LK Dillon 52nd ACM Technical Symposium on Computer Science Education, 418-424, 2021 | 4 | 2021 |
| Beyond Point Prediction: Capturing Zero-Inflated & Heavy-Tailed Spatiotemporal Data with Deep Extreme Mixture Models T Wilson, A McDonald, AH Galib, PN Tan, L Luo 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020-2028, 2022 | 2 | 2022 |
| Online estimation and coverage control with heterogeneous sensing information A McDonald, L Wei, V Srivastava 2021 IEEE Conference on Control Technology and Applications (CCTA), 144-149, 2021 | 2 | 2021 |
| Pushing the Limits of Subseasonal-to-Seasonal Sea Ice Forecasting with Deep Generative Modelling A McDonald, J Smith, P Yatsyshin, T Andersson, E Bowler, L van Zeeland, ... EGU24, 2024 | | 2024 |
| Interrogating Sea Ice Predictability with Gradients HL Joakimsen, I Martinsen, LT Luppino, A McDonald, S Hosking, ... IEEE Geoscience and Remote Sensing Letters, 2024 | | 2024 |
| Implementing Reproducible Environmental Data Science with Open Science: Lessons from the 1st Climate Informatics Reproducibility Challenge A McDonald, AC Castro, A Fouilloux, RB Lourenco, A Hyde, Y Rao AGU23, 2023 | | 2023 |
| Deep Generative Modelling for Spatially Sharp Sea Ice Forecasting A McDonald, J Smith, P Yatsyshin, T Andersson, J Byrne, M Pérez-Ortiz, ... AGU23, 2023 | | 2023 |
| Self-recover: forecasting block maxima in time series from predictors with disparate temporal coverage using self-supervised learning AH Galib, A McDonald, PN Tan, L Luo Proceedings of the Thirty-Second International Joint Conference on …, 2023 | | 2023 |
| Classifying sea ice in high-resolution SAR imagery using deep learning A McDonald, J Dimasaka, M Plumridge, J Torry, AC Zúñiga González, ... EGU General Assembly Conference Abstracts, EGU-9816, 2023 | | 2023 |
| Towards Modeling Multivariate Extremes with Normalizing Flows A McDonald, PN Tan, L Luo AGU Fall Meeting Abstracts 2021, GC45F-0875, 2021 | | 2021 |
Pang-Ning TanProfessor of Computer Science, Michigan State UniversityVerified email at msu.edu
