| Self-supervised object detection from audio-visual correspondence T Afouras, YM Asano, F Fagan, A Vedaldi, F Metze Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 43 | 2022 |
| Structured adaptive and random spinners for fast machine learning computations M Bojarski, A Choromanska, K Choromanski, F Fagan, C Gouy-Pailler, ... Artificial intelligence and statistics, 1020-1029, 2017 | 41 | 2017 |
| Elliptical Slice Sampling with Expectation Propagation. F Fagan, J Bhandari, JP Cunningham UAI, 2016 | 11 | 2016 |
| The advantage of lefties in one-on-one sports F Fagan, M Haugh, H Cooper Journal of Quantitative Analysis in Sports 15 (1), 1-25, 2019 | 9 | 2019 |
| Unbiased scalable softmax optimization F Fagan, G Iyengar arXiv preprint arXiv:1803.08577, 2018 | 9 | 2018 |
| A unification of the prevalent views on exploitation, exploration, intensification and diversification F Fagan, JH Van Vuuren International Journal of Metaheuristics 2 (3), 294-327, 2013 | 8 | 2013 |
| TripleSpin-a generic compact paradigm for fast machine learning computations K Choromanski, F Fagan, C Gouy-Pailler, A Morvan, T Sarlos, J Atif arXiv preprint arXiv:1605.09046, 2016 | 7 | 2016 |
| Robust implicit backpropagation F Fagan, G Iyengar arXiv preprint arXiv:1808.02433, 2018 | 4 | 2018 |
| Advances in Bayesian inference and stable optimization for large-scale machine learning problems F Fagan Columbia University, 2019 | | 2019 |
| Annular Augmentation Sampling F Fagan, J Bhandari, J Cunningham Artificial Intelligence and Statistics, 139-147, 2017 | | 2017 |
| Fast nonlinear embeddings via structured matrices K Choromanski, F Fagan arXiv preprint arXiv:1604.07356, 2016 | | 2016 |
| A qualitative model of evolutionary algorithms F Fagan Stellenbosch: Stellenbosch University, 2014 | | 2014 |
| An Articulated Qualitative Model for Evolutionary Algorithms FJ Fagan, JH van Vuuren | | |
