Neural Information Processing Systems / MIT Press / Bayesian Networks / /
Currency
pence / / /
Facility
Wyss Institute / Massachusetts Institute of Technology / /
IndustryTerm
generalized belief propagation algorithms / deterministic chemical reaction networks / chemical systems / free-energy approximations / free energy / equilibrium solutions / sumproduct algorithm / sum-product message passing algorithm / interest systems / chemical representation / chemical reaction networks / reaction networks / equilibrium solution / linear i/o systems / sum-product algorithm / compiled reaction network / e.g. max-product / information processing tasks / design reaction networks / chemical species / graph algorithms / chemical signal / chemical reaction models / chemical species concentrations / few sections present reaction networks / component-wise product / particular algorithm / energy / chemical reaction network / chemical design / chemical reactions / damped asynchronous sum-product / reaction network / simulated reaction network / set distinct chemical species / inference algorithms / arbitrary reaction networks / gene regulatory networks / Chemical implementation / microscopic systems / stochastic chemical kinetics model / nanoscale devices / strand displacement systems / example networks / sum-product inference algorithm / chemical kinetics / computing / biological reaction network / approximate solutions / linear systems / physical systems / chemical sensing / synthetic oscillatory network / probabilistic inference tools / /
Organization
Harvard University / MIT / Wyss Institute for Biologically Inspired Engineering / Massachusetts Institute of Technology / U.S. Securities and Exchange Commission / National Academy of Sciences / Ryan Prescott Adams School of Engineering and Applied Sciences Harvard University Cambridge / /
Person
Jeff Hasty / John J. Hopfield / David Yu Zhang / Christopher M. Bishop / Erik Winfree Jongmin Kim / Ron Weiss / Jonathan S. Yedidia / Erik Winfree / Stanislas Leibler / Y. Weiss / Ho-Lin Chen / Andrew Turberfield / Tal Danino / Cynthia H. Collins / Octavio Mondragon-Palomino / Georg Seelig / Yoram Gerchman / Chengde Mao / Subhayu Basu / Radhika Nagpal / John H. Reif / David Doty / Lulu Qian / Michael B. Elowitz / Thomas H. LaBean / David Soloveichik / Nadrian C. Seeman / Benjamin Vigoda / Lev Tsimring / Frances H. Arnold / Jehoshua Bruck / Nick Papadakis / W.T. Freeman / Nils Napp / Ryan Prescott / /
Position
Prime Minister / /
ProvinceOrState
Massachusetts / /
PublishedMedium
Machine Learning / Proceedings of the National Academy of Sciences / Lecture Notes in Computer Science / /
Message Passing Inference with Chemical Reaction Networks Nils Napp and Ryan Prescott Adams School of Engineering and Applied Sciences Harvard University Cambridge, MA 02138