Matthew J. Johnson
Matthew J. Johnson
Google Brain
Verified email at csail.mit.edu - Homepage
Title
Cited by
Cited by
Year
REDD: A public data set for energy disaggregation research
JZ Kolter, MJ Johnson
Workshop on data mining applications in sustainability (SIGKDD), San Diegoá…, 2011
11992011
Observation of H production
CMS collaboration
arXiv preprint arXiv:1804.02610, 2018
3852018
Composing graphical models with neural networks for structured representations and fast inference
MJ Johnson, D Duvenaud, AB Wiltschko, SR Datta, RP Adams
arXiv preprint arXiv:1603.06277, 2016
3502016
Bayesian nonparametric hidden semi-Markov models
MJ Johnson, AS Willsky
Association for Computing Machinery (ACM), 2013
3442013
Mapping sub-second structure in mouse behavior
AB Wiltschko, MJ Johnson, G Iurilli, RE Peterson, JM Katon, ...
Neuron 88 (6), 1121-1135, 2015
3322015
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
1872016
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
912019
Suppression of ϒ (1S), ϒ (2S), and ϒ (3S) quarkonium states in PbPb collisions at sNN= 2.76 TeV
V Khachatryan, AM Sirunyan, A Tumasyan, W Adam, E Asilar, T Bergauer, ...
Physics Letters B 770, 357-379, 2017
902017
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
882017
Observation of Y(1S) pair production in proton-proton collisions at TeV
V Khachatryan, AM Sirunyan, A Tumasyan, W Adam, E Asilar, T Bergauer, ...
Journal of high energy physics 2017 (5), 13, 2017
742017
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
712015
Stochastic variational inference for Bayesian time series models
M Johnson, A Willsky
International Conference on Machine Learning, 1854-1862, 2014
712014
Patterns of scalable Bayesian inference
E Angelino, MJ Johnson, RP Adams
arXiv preprint arXiv:1602.05221, 2016
662016
Inclusive b-jet production in pp collisions at
S Chatrchyan, V Khachatryan, AM Sirunyan, A Tumasyan, W Adam, ...
Journal of High Energy Physics 2012 (4), 1-36, 2012
66*2012
Analyzing hogwild parallel gaussian gibbs sampling
MJ Johnson, J Saunderson, AS Willsky
Proceedings of the 26th International Conference on Neural Informationá…, 2013
612013
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
581997
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
532015
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
511988
The DUNE far detector interim design report, Volume 2: single-phase module
B Abi, R Acciarri, MA Acero, M Adamowski, C Adams, D Adams, ...
482018
production in collisions at
VM Abazov, B Abbott, M Abolins, BS Acharya, M Adams, T Adams, ...
Physical Review D 78 (7), 072002, 2008
412008
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