4 papers
A reaction network scheme which implements inference and learning for Hidden Markov Models
Abhinav Singh, Carsten Wiuf, Abhishek Behera +1
With a view towards molecular communication systems and molecular multi-agent systems, we propose the Chemical Baum-Welch Algorithm, a novel reaction network scheme that learns par…
A reaction network scheme which implements the EM algorithm
Muppirala Viswa Virinchi, Abhishek Behera, Manoj Gopalkrishnan
A detailed algorithmic explanation is required for how a network of chemical reactions can generate the sophisticated behavior displayed by living cells. Though several previous wo…
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…