| Wilds: A benchmark of in-the-wild distribution shifts PW Koh, S Sagawa, H Marklund, SM Xie, M Zhang, A Balsubramani, ... International conference on machine learning, 5637-5664, 2021 | 1526 | 2021 |
| Biophysical model of AMPA receptor trafficking and its regulation during long-term potentiation/long-term depression BA Earnshaw, PC Bressloff Journal of Neuroscience 26 (47), 12362-12373, 2006 | 107 | 2006 |
| Diffusion of protein receptors on a cylindrical dendritic membrane with partially absorbing traps PC Bressloff, BA Earnshaw, MJ Ward SIAM Journal on Applied Mathematics 68 (5), 1223-1246, 2008 | 80 | 2008 |
| Identification of potential treatments for COVID-19 through artificial intelligence-enabled phenomic analysis of human cells infected with SARS-CoV-2 K Heiser, PF McLean, CT Davis, B Fogelson, HB Gordon, P Jacobson, ... BioRxiv, 2020.04. 21.054387, 2020 | 74 | 2020 |
| Diffusion-trapping model of receptor trafficking in dendrites PC Bressloff, BA Earnshaw Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 75 (4 …, 2007 | 60 | 2007 |
| Method and system for simultaneously managing a plurality of simulated real-time conversations J Munns, B Earnshaw, D Rosenlund US Patent 9,112,971, 2015 | 57 | 2015 |
| Functional immune mapping with deep-learning enabled phenomics applied to immunomodulatory and COVID-19 drug discovery MF Cuccarese, BA Earnshaw, K Heiser, B Fogelson, CT Davis, ... Biorxiv, 2020.08. 02.233064, 2020 | 56 | 2020 |
| Rxrx1: An image set for cellular morphological variation across many experimental batches J Taylor, B Earnshaw, B Mabey, M Victors, J Yosinski International Conference on Learning Representations (ICLR) 22, 23, 2019 | 55 | 2019 |
| Leveraging electronic health records for predictive modeling of post-surgical complications GB Weller, J Lovely, DW Larson, BA Earnshaw, M Huebner Statistical methods in medical research 27 (11), 3271-3285, 2018 | 52 | 2018 |
| Modeling the role of lateral membrane diffusion in AMPA receptor trafficking along a spiny dendrite BA Earnshaw, PC Bressloff Journal of computational neuroscience 25, 366-389, 2008 | 49 | 2008 |
| A dynamic corral model of receptor trafficking at a synapse PC Bressloff, BA Earnshaw Biophysical journal 96 (5), 1786-1802, 2009 | 41* | 2009 |
| Rxrx1: A dataset for evaluating experimental batch correction methods M Sypetkowski, M Rezanejad, S Saberian, O Kraus, J Urbanik, J Taylor, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 37 | 2023 |
| Global asymptotic stability of solutions of nonautonomous master equations BA Earnshaw, JP Keener SIAM Journal on Applied Dynamical Systems 9 (1), 220-237, 2010 | 28 | 2010 |
| A diffusion-activation model of CaMKII translocation waves in dendrites BA Earnshaw, PC Bressloff Journal of computational neuroscience 28, 77-89, 2010 | 24 | 2010 |
| Rxrx3: Phenomics map of biology MM Fay, O Kraus, M Victors, L Arumugam, K Vuggumudi, J Urbanik, ... Biorxiv, 2023.02. 07.527350, 2023 | 20 | 2023 |
| Biological cartography: Building and benchmarking representations of life S Celik, JC Huetter, S Melo, N Lazar, R Mohan, C Tillinghast, T Biancalani, ... NeurIPS 2022 Workshop on Learning Meaningful Representations of Life, 2022 | 17 | 2022 |
| MolE: a molecular foundation model for drug discovery O Méndez-Lucio, C Nicolaou, B Earnshaw arXiv preprint arXiv:2211.02657, 2022 | 16 | 2022 |
| A constructive enumeration of meanders ROW Franz, BA Earnshaw Annals of Combinatorics 6, 7-17, 2002 | 16 | 2002 |
| Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology O Kraus, K Kenyon-Dean, S Saberian, M Fallah, P McLean, J Leung, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 15 | 2024 |
| Masked autoencoders are scalable learners of cellular morphology O Kraus, K Kenyon-Dean, S Saberian, M Fallah, P McLean, J Leung, ... arXiv preprint arXiv:2309.16064, 2023 | 12 | 2023 |
Paul C BressloffProfessor of Applied Mathematics, Imperial College LondonVerified email at imperial.ac.uk