| Simplified state space layers for sequence modeling JTH Smith, A Warrington, SW Linderman arXiv preprint arXiv:2208.04933, 2022 | 491 | 2022 |
| On nesting monte carlo estimators T Rainforth, R Cornish, H Yang, A Warrington, F Wood International Conference on Machine Learning, 4267-4276, 2018 | 164 | 2018 |
| Robust asymmetric learning in pomdps A Warrington, JW Lavington, A Scibior, M Schmidt, F Wood International Conference on Machine Learning, 11013-11023, 2021 | 35 | 2021 |
| Planning as inference in epidemiological dynamics models F Wood, A Warrington, S Naderiparizi, C Weilbach, V Masrani, W Harvey, ... Frontiers in Artificial Intelligence 4, 550603, 2022 | 19 | 2022 |
| SIXO: Smoothing Inference with Twisted Objectives D Lawson, A Raventós, A Warrington, S Linderman Advances in Neural Information Processing Systems 35, 38844-38858, 2022 | 14 | 2022 |
| On the opportunities and pitfalls of nesting Monte Carlo estimators T Rainforth, R Cornish, H Yang, A Warrington, F Wood arXiv preprint arXiv:1709.06181, 38, 2017 | 9 | 2017 |
| Simplified state space layers for sequence modeling. arXiv 2022 JT Smith, A Warrington, SW Linderman arXiv preprint arXiv:2208.04933, 0 | 8 | |
| Coping With Simulators That Don’t Always Return A Warrington, S Naderiparizi, F Wood International Conference on Artificial Intelligence and Statistics, 1748-1758, 2020 | 6 | 2020 |
| The Virtual Patch Clamp: Imputing C. elegans Membrane Potentials from Calcium Imaging A Warrington, A Spencer, F Wood arXiv preprint arXiv:1907.11075, 2019 | 6 | 2019 |
| Switching Autoregressive Low-rank Tensor Models HD Lee, A Warrington, JI Glaser, SW Linderman arXiv preprint arXiv:2306.03291, 2023 | 5 | 2023 |
| Towards scalable and stable parallelization of nonlinear rnns X Gonzalez, A Warrington, JTH Smith, SW Linderman arXiv preprint arXiv:2407.19115, 2024 | 3 | 2024 |
| Updating the VESICLE-CNN Synapse Detector A Warrington, F Wood arXiv preprint arXiv:1710.11397, 2017 | 1 | 2017 |
| Deep Linear Hawkes Processes Y Chang, A Boyd, C Xiao, T Kass-Hout, P Bhatia, P Smyth, A Warrington arXiv preprint arXiv:2412.19634, 2024 | | 2024 |
| Machine learning for functional connectomics in Caenorhabditis elegans A Warrington University of Oxford, 2021 | | 2021 |
| Generalising Cost-Optimal Particle Filtering A Warrington, N Dhir arXiv preprint arXiv:1805.00890, 2018 | | 2018 |
| Supplementary Materials for: Coping With Simulators That Don’t Always Return A Warrington, S Naderiparizi, F Wood | | |
| Algorithmic Optimisation of Neuron Generator Parameters A Warrington, F Wood | | |
Frank WoodUniversity of British ColumbiaVerificeret mail på cs.ubc.ca