| JAX: composable transformations of Python+ NumPy programs J Bradbury, R Frostig, P Hawkins, MJ Johnson, C Leary, D Maclaurin, ... | 2952 | 2018 |
| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2138 | 2023 |
| REDD: A public data set for energy disaggregation research JZ Kolter, MJ Johnson Workshop on data mining applications in sustainability (SIGKDD), San Diego …, 2011 | 1882 | 2011 |
| Scaling language models: Methods, analysis & insights from training gopher JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ... arXiv preprint arXiv:2112.11446, 2021 | 1054 | 2021 |
| Review of the national ignition campaign 2009-2012 J Lindl, O Landen, J Edwards, E Moses, NIC team Physics of Plasmas 21 (2), 2014 | 795 | 2014 |
| Mapping sub-second structure in mouse behavior AB Wiltschko, MJ Johnson, G Iurilli, RE Peterson, JM Katon, ... Neuron 88 (6), 1121-1135, 2015 | 744 | 2015 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 670* | 2024 |
| Composing graphical models with neural networks for structured representations and fast inference MJ Johnson, DK Duvenaud, A Wiltschko, RP Adams, SR Datta Advances in neural information processing systems 29, 2016 | 558 | 2016 |
| Search for lepton-flavour-violating decays of the Higgs boson V Khachatryan, AM Sirunyan, A Tumasyan, W Adam, T Bergauer, ... Physics Letters B 749, 337-362, 2015 | 485 | 2015 |
| Bayesian nonparametric hidden semi-Markov models MJ Johnson, AS Willsky Association for Computing Machinery (ACM), 2013 | 474 | 2013 |
| Arrays of complementary oligonucleotides for analysing the hybridisation behaviour of nucleic acids EM Southern, SC Case-Green, JK EIder, M Johnson, KU Mir, L Wang, ... Nucleic Acids Research 22 (8), 1368-1373, 1994 | 416 | 1994 |
| Elbo surgery: yet another way to carve up the variational evidence lower bound MD Hoffman, MJ Johnson Workshop in Advances in Approximate Bayesian Inference, NIPS 1 (2), 2016 | 407 | 2016 |
| Agent-based business process management NR Jennings, P Faratin, MJ Johnson, TJ Norman, P O'brien, ME Wiegand International Journal of Cooperative Information Systems 5 (02n03), 105-130, 1996 | 406 | 1996 |
| Solar: Deep structured representations for model-based reinforcement learning M Zhang, S Vikram, L Smith, P Abbeel, M Johnson, S Levine International conference on machine learning, 7444-7453, 2019 | 310 | 2019 |
| Donor leukocyte infusions in acute lymphocytic leukemia RH Collins Jr, S Goldstein, S Giralt, J Levine, D Porter, W Drobyski, ... Bone marrow transplantation 26 (5), 511-516, 2000 | 298 | 2000 |
| Bayesian learning and inference in recurrent switching linear dynamical systems S Linderman, M Johnson, A Miller, R Adams, D Blei, L Paninski Artificial intelligence and statistics, 914-922, 2017 | 275 | 2017 |
| Genes of Bacillus cereus and Bacillus anthracis Encoding Proteins of the Exosporium SJ Todd, AJG Moir, MJ Johnson, A Moir Journal of bacteriology 185 (11), 3373-3378, 2003 | 250 | 2003 |
| British HIV Association guidelines for antiretroviral treatment of HIV seropositive individuals BG Gazzard, GJ Moyle, J Weber, M Johnson, JS Bingham, R Brettle, ... The Lancet 349 (9058), 1086-1092, 1997 | 231 | 1997 |
| Donor leukocyte infusions for multiple myeloma M Salama, T Nevill, D Marcellus, P Parker, M Johnson, A Kirk, D Porter, ... Bone marrow transplantation 26 (11), 1179-1184, 2000 | 215 | 2000 |
| Revealing the structure of pharmacobehavioral space through motion sequencing AB Wiltschko, T Tsukahara, A Zeine, R Anyoha, WF Gillis, JE Markowitz, ... Nature neuroscience 23 (11), 1433-1443, 2020 | 206 | 2020 |
