7 citations · 14 across the 2 of their papers we have counts for
2 papers
cs.LG2019★ 7 cited
word2ket: Space-efficient Word Embeddings inspired by Quantum Entanglement
Aliakbar Panahi, Seyran Saeedi, Tom Arodz
Deep learning natural language processing models often use vector word embeddings, such as word2vec or GloVe, to represent words. A discrete sequence of words can be much more easi…
cs.LG2019★ 7 cited
Quantum Sparse Support Vector Machines
Seyran Saeedi, Tom Arodz
We analyze the computational complexity of Quantum Sparse Support Vector Machine, a linear classifier that minimizes the hinge loss and the norm of the feature weights vector…