Graph Neural Networks for Improved El Niño Forecasting. - Salva Rühling Cachay; Emma Erickson; Arthur Fender C. Bucker; Ernest Pokropek; Willa Potosnak; Salomey Osei; Björn Lütjens (CoRR, 2020)

The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks. - Salva Rühling Cachay; Emma Erickson; Arthur Fender C. Bucker; Ernest Pokropek; Willa Potosnak; Suyash Bire; Salomey Osei; Björn Lütjens (CoRR, 2021)

Robust Rule Learning for Reliable and Interpretable Insight into Expertise Transfer Opportunities. - Willa Potosnak (AAAI, 2022)

auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data. - Chirag Nagpal; Willa Potosnak; Artur Dubrawski (MLHC, 2022)

Forecasting Response to Treatment with Deep Learning and Pharmacokinetic Priors. - Willa Potosnak; Cristian Challu; Kin G. Olivares; Artur Dubrawski (CoRR, 2023)

Implicit Reasoning in Deep Time Series Forecasting. - Willa Potosnak; Cristian Challu; Mononito Goswami; Michal Wilinski; Nina Zukowska; Artur Dubrawski (CoRR, 2024)

Unveiling and Manipulating Concepts in Time Series Foundation Models. - Michal Wilinski; Mononito Goswami; Nina Zukowska; Willa Potosnak; Artur Dubrawski (CoRR, 2024)

Towards Long-Context Time Series Foundation Models. - Nina Zukowska; Mononito Goswami; Michal Wilinski; Willa Potosnak; Artur Dubrawski (CoRR, 2024)

Global Deep Forecasting with Patient-Specific Pharmacokinetics. - Willa Potosnak; Cristian I. Challu; Kin G. Olivares; Keith A. Dufendach; Artur Dubrawski (CHIL, 2025)

Investigating Compositional Reasoning in Time Series Foundation Models. - Willa Potosnak; Cristian Challu; Mononito Goswami; Kin G. Olivares; Michal Wilinski; Nina Zukowska; Artur Dubrawski (CoRR, 2025)