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Andrew McDonald
Andrew McDonald
University of Cambridge, British Antarctic Survey
在 cam.ac.uk 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
132021
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
82022
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
82022
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
42022
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
42021
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
22021
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, ...
AGU Fall Meeting Abstracts 2023, GC21A-04, 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
IJCAI, 3723-3731, 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
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