Matthew J. Johnson
Matthew J. Johnson
Google Brain
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Cited by
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REDD: A public data set for energy disaggregation research
JZ Kolter, MJ Johnson
Workshop on data mining applications in sustainability (SIGKDD), San Diego …, 2011
JAX: composable transformations of Python+ NumPy programs
J Bradbury, R Frostig, P Hawkins, MJ Johnson, C Leary, D Maclaurin, ...
Version 0.2 5, 14-24, 2018
Mapping sub-second structure in mouse behavior
AB Wiltschko, MJ Johnson, G Iurilli, RE Peterson, JM Katon, ...
Neuron 88 (6), 1121-1135, 2015
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
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
Bayesian nonparametric hidden semi-Markov models
MJ Johnson, AS Willsky
Association for Computing Machinery (ACM), 2013
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
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
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
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
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
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
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
The prevalence and associated variables of deep venous thrombosis in patients with advanced cancer
MJ Johnson, MW Sproule, J Paul
Clinical oncology 11 (2), 105-110, 1999
British HIV Association (BHIVA) guidelines for the treatment of HIV-infected adults with antiretroviral therapy
S Collins, M Fisher, M Johnson, S Khoo, C Leen, C Loveday, G Moyle, ...
Highly flexible, wearable, and disposable cardiac biosensors for remote and ambulatory monitoring
SP Lee, G Ha, DE Wright, Y Ma, E Sen-Gupta, NR Haubrich, PC Branche, ...
NPJ digital medicine 1 (1), 1-8, 2018
Dependent multinomial models made easy: Stick-breaking with the Pólya-Gamma augmentation
S Linderman, MJ Johnson, RP Adams
Advances in Neural Information Processing Systems 28, 2015
Patterns of scalable Bayesian inference
E Angelino, MJ Johnson, RP Adams
Foundations and Trends® in Machine Learning 9 (2-3), 119-247, 2016
Stochastic variational inference for Bayesian time series models
M Johnson, A Willsky
International Conference on Machine Learning, 1854-1862, 2014
Mutagenesis and Functional Characterization of the RNA and Protein Components of the toxIN Abortive Infection and Toxin-Antitoxin Locus of Erwinia
TR Blower, PC Fineran, MJ Johnson, IK Toth, DP Humphreys, ...
Journal of bacteriology 191 (19), 6029-6039, 2009
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