| Bayesian Modeling of Human-AI Complementarity M Steyvers, H Tejeda, G Kerrigan, P Smyth Proceedings of the National Academy of Sciences of the United States of …, 2022 | 127 | 2022 |
| Differentially Private Language Models Benefit from Public Pre-training G Kerrigan, D Slack, J Tuyls EMNLP PrivateNLP Workshop, 2020 | 64 | 2020 |
| Combining human predictions with model probabilities via confusion matrices and calibration G Kerrigan, P Smyth, M Steyvers Advances in Neural Information Processing Systems 34, 4421-4434, 2021 | 51 | 2021 |
| Diffusion Generative Models in Infinite Dimensions G Kerrigan, J Ley, P Smyth 26th International Conference on AI and Statistics (AISTATS), 2022 | 22 | 2022 |
| Functional Flow Matching G Kerrigan, G Migliorini, P Smyth 27th International Conference on AI and Statistics (AISTATS), 2023 | 7 | 2023 |
| Dynamic Conditional Optimal Transport through Simulation-Free Flows G Kerrigan, G Migliorini, P Smyth Advances in Neural Information Processing Systems 38 (NeurIPS 2024), 2024 | 4 | 2024 |
| Precipitation Downscaling with Spatiotemporal Video Diffusion P Srivastava, R Yang, G Kerrigan, G Dresdner, J McGibbon, C Bretherton, ... Advances in Neural Information Processing Systems 38 (NeurIPS 2024), 2023 | 4* | 2023 |
| A generative diffusion model for probabilistic ensembles of precipitation maps conditioned on multisensor satellite observations C Guilloteau, G Kerrigan, K Nelson, G Migliorini, P Smyth, R Li, ... arXiv preprint arXiv:2409.16319, 2024 | 1 | 2024 |
| EventFlow: Forecasting Continuous-Time Event Data with Flow Matching G Kerrigan, K Nelson, P Smyth arXiv preprint arXiv:2410.07430, 2024 | | 2024 |
| Infinite-Dimensional Generative Models Through the Transport of Measure G Kerrigan University of California, Irvine, 2024 | | 2024 |
| Augmenting the Capabilities of Human Decision-makers with Human and Artificial Intelligence Complementarity G Kerrigan | | |
