83 citations · 230 across the 9 of their papers we have counts for
3 papers · 1 filter
Adaptivity for clustering-based reduced-order modeling of localized history-dependent phenomena
Bernardo P. Ferreira, F. M. Andrade Pires, Miguel A. Bessa
This paper proposes a novel Adaptive Clustering-based Reduced-Order Modeling (ACROM) framework to significantly improve and extend the recent family of clustering-based reduced-ord…
Neural network relief: a pruning algorithm based on neural activity
Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter +1
Current deep neural networks (DNNs) are overparameterized and use most of their neuronal connections during inference for each task. The human brain, however, developed specialized…
Spiderweb nanomechanical resonators via Bayesian optimization: inspired by nature and guided by machine learning
Dongil Shin, Andrea Cupertino, Matthijs H. J. de Jong +3
From ultra-sensitive detectors of fundamental forces to quantum networks and sensors, mechanical resonators are enabling next-generation technologies to operate in room temperature…