Gavin Kerrigan

16 papers A* 3A 2Journal 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Generative Diffusion Model for Probabilistic Ensembles of Precipitation Maps Conditioned on Multisensor Satellite Observations.
IEEE Trans. Geosci. Remote. Sens.
Clément Guilloteau, Gavin Kerrigan, Kai Nelson, Giosue Migliorini, Padhraic Smyth, Runze Li, Efi Foufoula-Georgiou
2025 J jnl
A Geometric Approach to Optimal Experimental Design.
CoRR
Gavin Kerrigan, Christian A. Naesseth, Tom Rainforth
2025 J jnl
Guided Diffusion Sampling on Function Spaces with Applications to PDEs.
CoRR
Jiachen Yao, Abbas Mammadov, Julius Berner, Gavin Kerrigan, Jong Chul Ye, Kamyar Azizzadenesheli, Anima Anandkumar
2024 A* conf
Dynamic Conditional Optimal Transport through Simulation-Free Flows.
NeurIPS
Gavin Kerrigan, Giosue Migliorini, Padhraic Smyth
2024 J jnl
Dynamic Conditional Optimal Transport through Simulation-Free Flows.
CoRR
Gavin Kerrigan, Giosue Migliorini, Padhraic Smyth
2024 J jnl
EventFlow: Forecasting Continuous-Time Event Data with Flow Matching.
CoRR
Gavin Kerrigan, Kai Nelson, Padhraic Smyth
2024 A conf
Functional Flow Matching.
AISTATS
Gavin Kerrigan, Giosue Migliorini, Padhraic Smyth
2024 — —
Infinite-Dimensional Generative Models through the Transport of Measure
Gavin Kerrigan
2024 A* conf
Precipitation Downscaling with Spatiotemporal Video Diffusion.
NeurIPS
Prakhar Srivastava, Ruihan Yang, Gavin Kerrigan, Gideon Dresdner, Jeremy McGibbon, Christopher S. Bretherton, Stephan Mandt
2023 A conf
Diffusion Generative Models in Infinite Dimensions.
AISTATS
Gavin Kerrigan, Justin Ley, Padhraic Smyth
2023 J jnl
Functional Flow Matching.
CoRR
Gavin Kerrigan, Giosue Migliorini, Padhraic Smyth
2023 J jnl
Probabilistic Precipitation Downscaling with Optical Flow-Guided Diffusion.
CoRR
Prakhar Srivastava, Ruihan Yang, Gavin Kerrigan, Gideon Dresdner, Jeremy McGibbon, Christopher S. Bretherton, Stephan Mandt
2022 J jnl
Diffusion Generative Models in Infinite Dimensions.
CoRR
Gavin Kerrigan, Justin Ley, Padhraic Smyth
2021 A* conf
Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration.
NeurIPS
Gavin Kerrigan, Padhraic Smyth, Mark Steyvers
2021 J jnl
Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration.
CoRR
Gavin Kerrigan, Padhraic Smyth, Mark Steyvers
2020 J jnl
Differentially Private Language Models Benefit from Public Pre-training.
CoRR
Gavin Kerrigan, Dylan Slack, Jens Tuyls