3 papers
cond-mat.mtrl-sci2021
Distributed Representations of Atoms and Materials for Machine Learning
Luis M. Antunes, Ricardo Grau-Crespo, Keith T. Butler
The use of machine learning is becoming increasingly common in computational materials science. To build effective models of the chemistry of materials, useful machine-based repres…
cs.LG2021
TensorX: Extensible API for Neural Network Model Design and Deployment
Davide Nunes, Luis Antunes
TensorX is a Python library for prototyping, design, and deployment of complex neural network models in TensorFlow. A special emphasis is put on ease of use, performance, and API c…
cs.CL2018
Neural Random Projections for Language Modelling
Davide Nunes, Luis Antunes
Neural network-based language models deal with data sparsity problems by mapping the large discrete space of words into a smaller continuous space of real-valued vectors. By learni…