Predicting quantum evolutions of excitation energy transfer in a light-harvesting complex using multi-optimized recurrent neural networks
SC Zhao, YM Huang, ZR Zhao - arXiv preprint arXiv:2401.17775, 2024 - arxiv.org
Constructing models to discover physics underlying magnanimous data is a traditional
strategy in data mining which has been proved to be powerful and successful. In this work, a …
strategy in data mining which has been proved to be powerful and successful. In this work, a …
Stochastic Deep Networks with Linear Competing Units for Transfer Learning
K Kalais - 2024 - ktisis.cut.ac.cy
Deep Learning (DL) has become the preferred approach to addressing various challenging
machine learning (MLe) tasks, like computer vision, natural language processing, and …
machine learning (MLe) tasks, like computer vision, natural language processing, and …