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 Diego …, 2011
10252011
Bayesian nonparametric hidden semi-Markov models
MJ Johnson, AS Willsky
Journal of Machine Learning Research 14 (Feb), 673-701, 2013
3092013
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, 2946-2954, 2016
2702016
Observation of H production
CMS collaboration
arXiv preprint arXiv:1804.02610, 2018
2562018
Mapping sub-second structure in mouse behavior
AB Wiltschko, MJ Johnson, G Iurilli, RE Peterson, JM Katon, ...
Neuron 88 (6), 1121-1135, 2015
2392015
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
1322016
Stochastic variational inference for Bayesian time series models
M Johnson, A Willsky
International Conference on Machine Learning, 1854-1862, 2014
702014
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
612017
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
571997
Combined results of searches for the standard model Higgs boson in pp collisions at sqrt (s)= 7 TeV
L Quertenmont, S Chatrchyan, S Basegmez, G Bruno, L Ceard, ...
Physics Letters. Section B: Nuclear, Elementary Particle and High-Energy …, 2012
552012
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
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
492019
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
492015
Patterns of scalable Bayesian inference
E Angelino, MJ Johnson, RP Adams
arXiv preprint arXiv:1602.05221, 2016
472016
Analyzing hogwild parallel gaussian gibbs sampling
MJ Johnson, J Saunderson, A Willsky
Advances in Neural Information Processing Systems, 2715-2723, 2013
442013
production in collisions at
VM Abazov, B Abbott, M Abolins, BS Acharya, M Adams, T Adams, ...
Physical Review D 78 (7), 072002, 2008
402008
Search for the Scalar Top Quark in Collisions at
VM Abazov, B Abbott, A Abdesselam, M Abolins, V Abramov, BS Acharya, ...
Physical review letters 88 (17), 171802, 2002
392002
The DUNE far detector interim design report, volume 2: Single-phase module
B Abi, R Acciarri, MA Acero, M Adamowski, C Adams, D Adams, ...
382018
The hierarchical Dirichlet process hidden semi-Markov model
MJ Johnson, A Willsky
arXiv preprint arXiv:1203.3485, 2012
302012
40th EASD Annual Meeting of the European Association for the Study of Diabetes: Munich, Germany, 5–9 September 2004
M Veitenhansl, K Stegner, FX Hierl, C Dieterle, H Feldmeier, B Gutt, ...
Diabetologia 47, A1-A464, 2004
302004
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