Matthew J. Johnson
Matthew J. Johnson
Google Brain
Geverifieerd e-mailadres voor csail.mit.edu - Homepage
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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 Diegoá…, 2011
11032011
Bayesian nonparametric hidden semi-Markov models
MJ Johnson, AS Willsky
Journal of Machine Learning Research 14 (Feb), 673-701, 2013
3262013
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
3222016
Observation of H production
CMS collaboration
arXiv preprint arXiv:1804.02610, 2018
3172018
Mapping sub-second structure in mouse behavior
AB Wiltschko, MJ Johnson, G Iurilli, RE Peterson, JM Katon, ...
Neuron 88 (6), 1121-1135, 2015
2842015
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
1622016
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
782017
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
772019
Stochastic variational inference for Bayesian time series models
M Johnson, A Willsky
International Conference on Machine Learning, 1854-1862, 2014
712014
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-Energyá…, 2012
572012
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
Patterns of scalable Bayesian inference
E Angelino, MJ Johnson, RP Adams
arXiv preprint arXiv:1602.05221, 2016
562016
Analyzing hogwild parallel gaussian gibbs sampling
MJ Johnson, J Saunderson, A Willsky
Advances in Neural Information Processing Systems, 2715-2723, 2013
552013
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
521988
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
512015
The DUNE far detector interim design report, volume 2: Single-phase module
B Abi, R Acciarri, MA Acero, M Adamowski, C Adams, D Adams, ...
462018
production in collisions at
VM Abazov, B Abbott, M Abolins, BS Acharya, M Adams, T Adams, ...
Physical Review D 78 (7), 072002, 2008
412008
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
412002
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
322004
The hierarchical Dirichlet process hidden semi-Markov model
MJ Johnson, A Willsky
arXiv preprint arXiv:1203.3485, 2012
302012
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Artikelen 1–20