3 papers
math.LO2026
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…
cs.NE2025
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…
physics.bio-ph2024
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…