• 2888 Citations
  • 24 h-Index
20082018
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Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Markov processes Engineering & Materials Science
Time series Engineering & Materials Science
Learning systems Engineering & Materials Science
Blood pressure Engineering & Materials Science
Neural networks Engineering & Materials Science
Patient monitoring Engineering & Materials Science
Intensive care units Engineering & Materials Science
Sampling Engineering & Materials Science

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Research Output 2008 2018

96 Citations (Scopus)

Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules

Gómez-Bombarelli, R., Wei, J. N., Duvenaud, D., Hernández-Lobato, J. M., Sánchez-Lengeling, B., Sheberla, D., Aguilera-Iparraguirre, J., Hirzel, T. D., Adams, R. P. & Aspuru-Guzik, A., Feb 28 2018, In : ACS Central Science. 4, 2, p. 268-276 9 p.

Princeton University

Research output: Contribution to journalArticle

Molecules
Chemical compounds
Chemical properties
Decoding
Atoms

Detecting genome-wide directional effects of transcription factor binding on polygenic disease risk

Reshef, Y. A., Finucane, H. K., Kelley, D. R., Gusev, A., Kotliar, D., Ulirsch, J. C., Hormozdiari, F., Nasser, J., O’Connor, L., van de Geijn, B., Loh, P. R., Grossman, S. R., Bhatia, G., Gazal, S., Palamara, P. F., Pinello, L., Patterson, N., Adams, R. P. & Price, A. L., Oct 1 2018, In : Nature Genetics. 50, 10, p. 1483-1493 11 p.

Princeton University

Research output: Contribution to journalArticle

Transcription Factors
Genome
Biological Phenomena
Quantitative Trait Loci
Single Nucleotide Polymorphism

Bayesian inference for Matérn repulsive processes

Rao, V., Adams, R. P. & Dunson, D. D., Jun 1 2017, In : Journal of the Royal Statistical Society. Series B: Statistical Methodology. 79, 3, p. 877-897 21 p.

Research output: Contribution to journalArticle

Bayesian inference
Markov Chain Monte Carlo Algorithms
Cell
Latent Variables
Point Process

PASS-GLM: Polynomial approximate sufficient statistics for scalable Bayesian GLM inference

Huggins, J. H., Adams, R. P. & Broderick, T., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 3612-3622 11 p.

Princeton University

Research output: Contribution to journalConference article

Statistics
Polynomials
Logistics
Marketing
Experiments

Reducing reparameterization gradient variance

Miller, A. C., Foti, N. J., D'Amour, A. & Adams, R. P., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 3709-3719 11 p.

Princeton University

Research output: Contribution to journalConference article

Random variables
Learning systems
Statistics
Neural networks