Publications

2023
Yik, W., Sonnewald, M., Clare, M. C. A., Lguensat, R. (2023). Southern Ocean Dynamics Under Climate Change: New Knowledge Through Physics-Guided Machine Learning. NeurIPS Workshop: Tackling Climate Change with Machine Learning.
[Paper] [Code] [Video Presentation] [Slides] [Poster]

Hom, C., Yik, W., Montañez, G. D. (2023). Finite-Sample Bounds for Two-Distribution Hypothesis Tests. IEEE International Conference on Data Science and Advance Analytics (DSAA).
[Paper] [Code] [Slides]

Yik, W., Silva, S. J., Geiss, A., Watson-Parris, D. (2023). Exploring Randomly Wired Neural Networks for Climate Model Emulation. Artificial Intelligence for the Earth Systems (AIES).
[Paper] [Code]

2022
Yik, W., Silva, S. J., Geiss, A., Watson-Parris, D. (2022). Exploring Randomly Wired Neural Networks for Climate Model Emulation. NeurIPS Workshop: Tackling Climate Change with Machine Learning.
[Paper] [Code] [Video Presentation] [Slides] [Poster]

Yik, W., Serafini, L., Lindsey, T., Montañez, G. D. (2022). Identifying Bias in Data Using Two-Distribution Hypothesis Tests. AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES).
[Paper] [Code] [Video Presentation] [Slides] [Poster]