Gavin Kerrigan

According to our database, Gavin Kerrigan authored at least 11 papers between 2020 and 2025.

Collaborative distances:

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

2025

Guided Diffusion Sampling on Function Spaces with Applications to PDEs.

Jiachen Yao, Abbas Mammadov, Julius Berner, Gavin Kerrigan, Jong Chul Ye, Kamyar Azizzadenesheli, Anima Anandkumar

CoRR, May, 2025

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

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

IEEE Trans. Geosci. Remote. Sens., 2025

2024

Infinite-Dimensional Generative Models through the Transport of Measure

Gavin Kerrigan

PhD thesis, 2024

EventFlow: Forecasting Continuous-Time Event Data with Flow Matching.

Gavin Kerrigan, Kai Nelson, Padhraic Smyth

CoRR, 2024

Dynamic Conditional Optimal Transport through Simulation-Free Flows.

Gavin Kerrigan, Giosue Migliorini, Padhraic Smyth

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Precipitation Downscaling with Spatiotemporal Video Diffusion.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Functional Flow Matching.

Gavin Kerrigan, Giosue Migliorini, Padhraic Smyth

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Probabilistic Precipitation Downscaling with Optical Flow-Guided Diffusion.

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

CoRR, 2023

Diffusion Generative Models in Infinite Dimensions.

Gavin Kerrigan, Justin Ley, Padhraic Smyth

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021

Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration.

Gavin Kerrigan, Padhraic Smyth, Mark Steyvers

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Differentially Private Language Models Benefit from Public Pre-training.

Gavin Kerrigan, Dylan Slack, Jens Tuyls

CoRR, 2020