3 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 3 cited
Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization
Leo Feng, Padideh Nouri, Aneri Muni +2
The ability to accelerate the design of biological sequences can have a substantial impact on the progress of the medical field. The problem can be framed as a global optimization…
cs.LG2022★ 2 cited
On the adaptation of recurrent neural networks for system identification
Marco Forgione, Aneri Muni, Dario Piga +1
This paper presents a transfer learning approach which enables fast and efficient adaptation of Recurrent Neural Network (RNN) models of dynamical systems. A nominal RNN model is f…