6 citations · 10 across the 3 of their papers we have counts for
9 papers
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…
Active Inference for Stochastic Control
Aswin Paul, Noor Sajid, Manoj Gopalkrishnan +1
Active inference has emerged as an alternative approach to control problems given its intuitive (probabilistic) formalism. However, despite its theoretical utility, computational i…
A Compressed Sensing Approach to Pooled RT-PCR Testing for COVID-19 Detection
Sabyasachi Ghosh, Rishi Agarwal, Mohammad Ali Rehan +9
We propose `Tapestry', a novel approach to pooled testing with application to COVID-19 testing with quantitative Reverse Transcription Polymerase Chain Reaction (RT-PCR) that can r…
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…