Willa Potosnak

14 papers A* 2Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Realistic Evaluation of Cross-Frequency Transfer Learning and Foundation Forecasting Models. CoRR Kin G. Olivares, Malcolm Wolff, Tatiana Konstantinova, Shankar Ramasubramanian, Andrew Gordon Wilson, Andres Potapczynski, Willa Potosnak, Mengfei Cao, Boris N. Oreshkin, Dmitry Efimov
2025	A*	`conf`	Exploring Representations and Interventions in Time Series Foundation Models. ICML Michal Wilinski, Mononito Goswami, Willa Potosnak, Nina Zukowska, Artur Dubrawski
2025	J	`jnl`	Forking-Sequences. CoRR Willa Potosnak, Malcolm Wolff, Boris N. Oreshkin, Mengfei Cao, Michael W. Mahoney, Dmitry Efimov, Kin G. Olivares
2025	—	`conf`	Global Deep Forecasting with Patient-Specific Pharmacokinetics. CHIL Willa Potosnak, Cristian I. Challu, Kin G. Olivares, Keith A. Dufendach, Artur Dubrawski
2025	J	`jnl`	Investigating Compositional Reasoning in Time Series Foundation Models. CoRR Willa Potosnak, Cristian Challu, Mononito Goswami, Kin G. Olivares, Michal Wilinski, Nina Zukowska, Artur Dubrawski
2024	J	`jnl`	Implicit Reasoning in Deep Time Series Forecasting. CoRR Willa Potosnak, Cristian Challu, Mononito Goswami, Michal Wilinski, Nina Zukowska, Artur Dubrawski
2024	J	`jnl`	Towards Long-Context Time Series Foundation Models. CoRR Nina Zukowska, Mononito Goswami, Michal Wilinski, Willa Potosnak, Artur Dubrawski
2024	J	`jnl`	Unveiling and Manipulating Concepts in Time Series Foundation Models. CoRR Michal Wilinski, Mononito Goswami, Nina Zukowska, Willa Potosnak, Artur Dubrawski
2023	J	`jnl`	Forecasting Response to Treatment with Deep Learning and Pharmacokinetic Priors. CoRR Willa Potosnak, Cristian Challu, Kin G. Olivares, Artur Dubrawski
2022	A*	`conf`	Robust Rule Learning for Reliable and Interpretable Insight into Expertise Transfer Opportunities. AAAI Willa Potosnak
2022	—	`conf`	auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data. MLHC Chirag Nagpal, Willa Potosnak, Artur Dubrawski
2022	J	`jnl`	auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data. CoRR Chirag Nagpal, Willa Potosnak, Artur Dubrawski
2021	J	`jnl`	The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks. CoRR Salva Rühling Cachay, Emma Erickson, Arthur Fender C. Bucker, Ernest Pokropek, Willa Potosnak, Suyash Bire, Salomey Osei, Björn Lütjens
2020	J	`jnl`	Graph Neural Networks for Improved El Niño Forecasting. CoRR Salva Rühling Cachay, Emma Erickson, Arthur Fender C. Bucker, Ernest Pokropek, Willa Potosnak, Salomey Osei, Björn Lütjens