Matthew J. Johnson
Matthew J. Johnson
Google Brain
Підтверджена електронна адреса в - Домашня сторінка
REDD: A public data set for energy disaggregation research
JZ Kolter, MJ Johnson
Workshop on data mining applications in sustainability (SIGKDD), San Diego …, 2011
Combined results of searches for the standard model Higgs boson in pp collisions at sqrt (s)= 7 TeV
CmS Collaboration
arXiv preprint arXiv:1202.1488, 2012
Observation of H production
Cms Collaboration
arXiv preprint arXiv:1804.02610, 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, 2946-2954, 2016
Bayesian nonparametric hidden semi-Markov models
MJ Johnson, AS Willsky
Association for Computing Machinery (ACM), 2013
Measurement of the t t-bar production cross section in pp collisions at sqrt (s)= 7 TeV with lepton+ jets final states
CMS collaboration
arXiv preprint arXiv:1212.6682, 2012
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
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
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
Dependent Multinomial Models Made Easy: Stick Breaking with the P\'olya-Gamma Augmentation
SW Linderman, MJ Johnson, RP Adams
arXiv preprint arXiv:1506.05843, 2015
Patterns of scalable Bayesian inference
E Angelino, MJ Johnson, RP Adams
arXiv preprint arXiv:1602.05221, 2016
Stochastic variational inference for Bayesian time series models
M Johnson, A Willsky
International Conference on Machine Learning, 1854-1862, 2014
Observation of Y(1S) pair production in proton-proton collisions at s = 8 TeV
V Khachatryan, AM Sirunyan, A Tumasyan, W Adam, E Asilar, T Bergauer, ...
Journal of high energy physics 2017 (5), 1-34, 2017
Analyzing hogwild parallel gaussian gibbs sampling
MJ Johnson, J Saunderson, A Willsky
Advances in neural information processing systems 26, 2715-2723, 2013
Measurement of diffractive dissociation cross sections in collisions at
V Khachatryan, AM Sirunyan, A Tumasyan, W Adam, T Bergauer, ...
Physical Review D 92 (1), 012003, 2015
Limits on and Couplings from Events at
B Abbott, M Abolins, BS Acharya, I Adam, DL Adams, M Adams, S Ahn, ...
Physical review letters 79 (8), 1441, 1997
The DUNE far detector interim design report, Volume 2: single-phase module
B Abi, R Acciarri, MA Acero, M Adamowski, C Adams, D Adams, ...
Single dose, oral antibiotic cover for transurethral prostatectomy
CP Shearman, SH Silverman, M Johnson, CH Young, DJ Farrar, ...
British journal of urology 62 (5), 434-438, 1988
Limits on anomalous and couplings from production
B Abbott, M Abolins, V Abramov, BS Acharya, DL Adams, M Adams, ...
Physical Review D 62 (5), 052005, 2000
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