56 citations · 56 across the 5 of their papers we have counts for
5 papers
On Cohesive Products of Fields
Rumen Dimitrov, Valentina Harizanov, Henry J. Klatt +1
We develop the foundations of effective ultraproducts of fields and their Galois groups using the methods of computability theory. These computability-theoretic analogs of ultrapro…
Boosting Reservoir Computing with Brain-inspired Adaptive Dynamics
Keshav Srinivasan, Dietmar Plenz, Michelle Girvan
Reservoir computers (RCs) provide a computationally efficient alternative to deep learning while also offering a framework for incorporating brain-inspired computational principles…
Machine learning from limited data: Predicting biological dynamics under a time-varying external input
Hoony Kang, Keshav Srinivasan, Wolfgang Losert
Reservoir computing (RC) is known as a powerful machine learning approach for learning complex dynamics from limited data. Here, we use RC to predict highly stochastic dynamics of…
Cohesive Powers of Structures
Valentina Harizanov, Keshav Srinivasan
A cohesive power of a structure is an effective analog of the classical ultrapower of a structure. We start with a computable structure, and consider its countable ultrapower over…
Parallel Machine Learning for Forecasting the Dynamics of Complex Networks
Keshav Srinivasan, Nolan Coble, Joy Hamlin +3
Forecasting the dynamics of large complex networks from previous time-series data is important in a wide range of contexts. Here we present a machine learning scheme for this task…