Equivariant neural networks for recovery of Hadamard matrices

no code implementations • 31 Jan 2022 • Augusto Peres, Eduardo Dias, Luís Sarmento, Hugo Penedones

We propose a message passing neural network architecture designed to be equivariant to column and row permutations of a matrix.

Combinatorial Optimization

Learning Word Embeddings from the Portuguese Twitter Stream: A Study of some Practical Aspects

no code implementations • 4 Sep 2017 • Pedro Saleiro, Luís Sarmento, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio Oliveira

Using a single GPU, we were able to scale up vocabulary size from 2048 words embedded and 500K training examples to 32768 words over 10M training examples while keeping a stable validation loss and approximately linear trend on training time per epoch.

Learning Word Embeddings Playing the Game of 2048