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Fingerprint Dive into the research topics where Ryan P. Adams is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Markov processes Engineering & Materials Science
Learning systems Engineering & Materials Science
Neural networks Engineering & Materials Science
Time series Engineering & Materials Science
Sampling Engineering & Materials Science
Gaussian Process Mathematics
Blood pressure Engineering & Materials Science
Random variables Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2017 2020

Research Output 2008 2019

1 Citation (Scopus)

Approximate inference for constructing astronomical catalogs from images

The Voleon Group, Sep 2019, In : Annals of Applied Statistics. 13, 3, p. 1884-1926 43 p.

Princeton University

Research output: Contribution to journalArticle

Open Access
Markov processes
Optical telescopes
Galaxies
Supercomputers
Random variables
Compressibility
Neural networks
guarantee
neural network
Compression
5 Citations (Scopus)

Rapid Prediction of Electron-Ionization Mass Spectrometry Using Neural Networks

Adams, R. P., Apr 24 2019, In : ACS Central Science. 5, 4, p. 700-708 9 p.

Princeton University

Research output: Contribution to journalArticle

Open Access
Ionization
Mass spectrometry
Neural networks
Molecules
Electrons

A Bayesian nonparametric view on count-min sketch

Adams, R. P., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 8768-8777 10 p.

Princeton University

Research output: Contribution to journalConference article

Data structures
Scaling laws
Random processes
Websites
Data storage equipment
244 Citations (Scopus)

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

Adams, R. P., 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