Publications

Dynamic Conditional Optimal Transport through Simulation-Free Flows

Gavin Kerrigan, Giosue Migliorini, Padhraic Smyth

Neural Information Processing Systems (NeurIPS), 2024.

• arXiv
• Code

Precipitation Downscaling with Spatiotemporal Video Diffusion

Prakhar Srivastava, Ruihan Yang, Gavin Kerrigan, Gideon Dresdner, Jeremy McGibbon, Christopher Bretherton, Stephan Mandt

Neural Information Processing Systems (NeurIPS), 2024.

• arXiv

Functional Flow Matching

Gavin Kerrigan, Giosue Migliorini, Padhraic Smyth

International Conference on AI and Statistics (AISTATS), 2024.
[Oral, Outstanding Student Paper Highlight (7/1802)]

• Publication
• arXiv
• Code

Diffusion Generative Models in Infinite Dimensions

Gavin Kerrigan, Justin Ley, Padhraic Smyth

International Conference on AI and Statistics (AISTATS), 2023.

• Publication
• arXiv
• Code

Bayesian Modeling of Human-AI Complementarity

Mark Steyvers, Heliodoro Tejeda, Gavin Kerrigan, Padhraic Smyth

Proceedings of the National Academy of Sciences (PNAS), 2022.

• Publication
• Code
• Blog
• Press

Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration

Gavin Kerrigan, Padhraic Smyth, Mark Steyvers

Neural Information Processing Systems (NeurIPS), 2021.

• Publication
• arXiv
• Code

Differentially Private Language Models Benefit from Public Pre-Training

Gavin Kerrigan*, Dylan Slack*, Jens Tuyls*

PrivateNLP : EMNLP Workshop on Privacy and Natural Language Processing, 2020.

• Publication
• arXiv
• Code

EventFlow: Forecasting Continuous-Time Event Data with Flow Matching

Gavin Kerrigan, Kai Nelson, Padhraic Smyth

arXiv Preprint, 2024.

• arXiv

A Generative Diffusion Model for Probabilistic Ensembles of Precipitation Maps Conditioned on Multisensor Satellite Observations

Clement Guilloteau, Gavin Kerrigan, Kai Nelson, Giosue Migliorini, Padhraic Smyth, Runze Li, Efi Foufoula-Georgiou

arXiv Preprint, 2024.

• arXiv