Ryan P. Adams, Ph.D.

School of Engineering and Applied Sciences Harvard University, Cambridge, MA, United States 
point process models
"Ryan Adams"
Mean distance: 13.97 (cluster 17)
Cross-listing: Physics Tree

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Gómez-Bombarelli R, Wei JN, Duvenaud D, et al. (2018) Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules. Acs Central Science. 4: 268-276
Gómez-Bombarelli R, Aguilera-Iparraguirre J, Hirzel TD, et al. (2016) Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach. Nature Materials
Wiltschko AB, Johnson MJ, Iurilli G, et al. (2015) Mapping Sub-Second Structure in Mouse Behavior. Neuron. 88: 1121-35
Adams RP, Fox EB, Sudderth EB, et al. (2015) Guest Editors' Introduction to the Special Issue on Bayesian Nonparametrics. Ieee Trans Pattern Anal Mach Intell. 37: 209-11
Lehman LW, Adams RP, Mayaud L, et al. (2015) A physiological time series dynamics-based approach to patient monitoring and outcome prediction. Ieee Journal of Biomedical and Health Informatics. 19: 1068-76
Adams RP, Fox EB, Sudderth EB, et al. (2015) Guest editors' introduction to the special issue on bayesian nonparametrics Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 209-211
Shahriari B, Swersky K, Wang Z, et al. (2015) Taking the Human Out of the Loop: A Review of Bayesian Optimization Proceedings of the Ieee
Nemati S, Adams RP. (2015) Identifying outcome-discriminative dynamics in multivariate physiological cohort time series Advanced State Space Methods For Neural and Clinical Data. 283-301
Lehman LH, Johnson MJ, Nemati S, et al. (2015) Bayesian nonparametric learning of switching dynamics in cohort physiological time series: Application in critical care patient monitoring Advanced State Space Methods For Neural and Clinical Data. 257-282
Maclaurin D, Adams RP. (2015) Firefly Monte Carlo: Exact MCMC with subsets of data Ijcai International Joint Conference On Artificial Intelligence. 2015: 4289-4295
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