| Convolutional networks on graphs for learning molecular fingerprints D Duvenaud, D Maclaurin, J Aguilera-Iparraguirre, R Gómez-Bombarelli, ... arXiv preprint arXiv:1509.09292, 2015 | 1868 | 2015 |
| Quantum measurement and orientation tracking of fluorescent nanodiamonds inside living cells LP McGuinness, Y Yan, A Stacey, DA Simpson, LT Hall, D Maclaurin, ... Nature nanotechnology 6 (6), 358-363, 2011 | 555 | 2011 |
| All-optical electrophysiology in mammalian neurons using engineered microbial rhodopsins DR Hochbaum, Y Zhao, SL Farhi, N Klapoetke, CA Werley, V Kapoor, ... Nature methods 11 (8), 825-833, 2014 | 549 | 2014 |
| Gradient-based hyperparameter optimization through reversible learning D Maclaurin, D Duvenaud, R Adams International conference on machine learning, 2113-2122, 2015 | 488 | 2015 |
| Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach R Gómez-Bombarelli, J Aguilera-Iparraguirre, TD Hirzel, D Duvenaud, ... Nature materials 15 (10), 1120-1127, 2016 | 475 | 2016 |
| Optical recording of action potentials in mammalian neurons using a microbial rhodopsin JM Kralj, AD Douglass, DR Hochbaum, D Maclaurin, AE Cohen Nature methods 9 (1), 90-95, 2012 | 438 | 2012 |
| Firefly Monte Carlo: Exact MCMC with subsets of data D Maclaurin, RP Adams arXiv preprint arXiv:1403.5693, 2014 | 170 | 2014 |
| Autograd: Effortless gradients in numpy D Maclaurin, D Duvenaud, RP Adams ICML 2015 AutoML Workshop 238, 5, 2015 | 161 | 2015 |
| JAX: composable transformations of Python+ NumPy programs, 2018 J Bradbury, R Frostig, P Hawkins, MJ Johnson, C Leary, D Maclaurin, ... URL http://github. com/google/jax 4, 16, 2020 | 122 | 2020 |
| Mechanism of voltage-sensitive fluorescence in a microbial rhodopsin D Maclaurin, V Venkatachalam, H Lee, AE Cohen Proceedings of the National Academy of Sciences 110 (15), 5939-5944, 2013 | 95 | 2013 |
| JAX: composable transformations of Python+ NumPy programs J Bradbury, R Frostig, P Hawkins, MJ Johnson, C Leary, D Maclaurin, ... Version 0.1 55, 2018 | 94 | 2018 |
| Timekeeping with electron spin states in diamond JS Hodges, NY Yao, D Maclaurin, C Rastogi, MD Lukin, D Englund Physical Review A 87 (3), 032118, 2013 | 76 | 2013 |
| Measurable quantum geometric phase from a rotating single spin D Maclaurin, MW Doherty, LCL Hollenberg, AM Martin Physical review letters 108 (24), 240403, 2012 | 55 | 2012 |
| Early stopping as nonparametric variational inference D Duvenaud, D Maclaurin, R Adams Artificial Intelligence and Statistics, 1070-1077, 2016 | 54 | 2016 |
| Early stopping as nonparametric variational inference D Duvenaud, D Maclaurin, R Adams Artificial Intelligence and Statistics, 1070-1077, 2016 | 54 | 2016 |
| Modeling, inference and optimization with composable differentiable procedures D Maclaurin | 39 | 2016 |
| Flash memory: photochemical imprinting of neuronal action potentials onto a microbial rhodopsin V Venkatachalam, D Brinks, D Maclaurin, D Hochbaum, J Kralj, AE Cohen Journal of the American Chemical Society 136 (6), 2529-2537, 2014 | 37 | 2014 |
| Nanoscale magnetometry through quantum control of nitrogen–vacancy centres in rotationally diffusing nanodiamonds D Maclaurin, LT Hall, AM Martin, LCL Hollenberg New Journal of Physics 15 (1), 013041, 2013 | 34 | 2013 |
| Early stopping is nonparametric variational inference D Maclaurin, D Duvenaud, RP Adams arXiv preprint arXiv:1504.01344, 2015 | 10 | 2015 |
| Systems and methods for imaging at high spatial and/or temporal precision AE Cohen, D Maclaurin, D Hochbaum, J Kralj US Patent App. 14/359,387, 2015 | 10 | 2015 |
