Soukayna Mouatadid

According to our database, Soukayna Mouatadid authored at least 9 papers between 2015 and 2026.

Collaborative distances:

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

2026

Enhancing AI and Dynamical Subseasonal Forecasts with Probabilistic Bias Correction.

Hannah Guan, Soukayna Mouatadid, Paulo Orenstein, Judah Cohen, Haiyu Dong, Zekun Ni, Jeremy Berman, Genevieve Flaspohler, Alex Lu, Jakob Schloer, Joshua Talib, Jonathan A. Weyn, Lester Mackey

CoRR, April, 2026

2023

Machine Learning for Improved Weather and Climate Predictions

Soukayna Mouatadid

PhD thesis, 2023

SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking.

Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Miruna Oprescu, Judah Cohen, Franklyn Wang, Sean Knight, Maria Geogdzhayeva, Sam Levang, Ernest Fraenkel, Lester Mackey

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Adaptive Bias Correction for Improved Subseasonal Forecasting.

Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Judah Cohen, Miruna Oprescu, Ernest Fraenkel, Lester Mackey

CoRR, 2022

2021

Learned Benchmarks for Subseasonal Forecasting.

Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Miruna Oprescu, Judah Cohen, Franklyn Wang, Sean Knight, Maria Geogdzhayeva, Sam Levang, Ernest Fraenkel, Lester Mackey

CoRR, 2021

Online Learning with Optimism and Delay.

Genevieve Flaspohler, Francesco Orabona, Judah Cohen, Soukayna Mouatadid, Miruna Oprescu, Paulo Orenstein, Lester Mackey

Proceedings of the 38th International Conference on Machine Learning, 2021

2019

Recovering the parameters underlying the Lorenz-96 chaotic dynamics.

Soukayna Mouatadid, Pierre Gentine, Wei Yu, Steve Easterbrook

CoRR, 2019

2017

A Machine Learning Approach to Non-uniform Spatial Downscaling of Climate Variables.

Soukayna Mouatadid, Steve Easterbrook, Andre R. Erler

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2015

Prediction of SPEI Using MLR and ANN: A Case Study for Wilsons Promontory Station in Victoria.

Soukayna Mouatadid, Ravinesh C. Deo, Jan Franklin Adamowski

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015