111 citations · 359 across the 19 of their papers we have counts for
5 papers · 1 filter
Autonomous Learning of Generative Models with Chemical Reaction Network Ensembles
William Poole, Thomas E. Ouldridge, Manoj Gopalkrishnan
Can a micron sized sack of interacting molecules autonomously learn an internal model of a complex and fluctuating environment? We draw insights from control theory, machine learni…
Detailed Balanced Chemical Reaction Networks as Generalized Boltzmann Machines
William Poole, Thomas Ouldridge, Manoj Gopalkrishnan +1
Can a micron sized sack of interacting molecules understand, and adapt to a constantly-fluctuating environment? Cellular life provides an existence proof in the affirmative, but th…
Chemical Boltzmann Machines
William Poole, Andrés Ortiz-Muñoz, Abhishek Behera +4
How smart can a micron-sized bag of chemicals be? How can an artificial or real cell make inferences about its environment? From which kinds of probability distributions can chemic…
A stochastic molecular scheme for an artificial cell to infer its environment from partial observations
Muppirala Viswa Virinchi, Abhishek Behera, Manoj Gopalkrishnan
The notion of entropy is shared between statistics and thermodynamics, and is fundamental to both disciplines. This makes statistical problems particularly suitable for reaction ne…
Catalysis in Reaction Networks
Manoj Gopalkrishnan
We define catalytic networks as chemical reaction networks with an essentially catalytic reaction pathway: one which is on in the presence of certain catalysts and off in their abs…