Search Results for author:
Found 4 papers, 2 papers with code
Quantum linear algebra is all you need for Transformer architectures
Generative machine learning methods such as large-language models are revolutionizing the creation of text and images.
Learning Restricted Boltzmann Machines with greedy quantum search
Restricted Boltzmann Machines (RBMs) are widely used probabilistic undirected graphical models with visible and latent nodes, playing an important role in statistics and machine learning.
OxKBC: Outcome Explanation for Factorization Based Knowledge Base Completion
State-of-the-art models for Knowledge Base Completion (KBC) are based on tensor factorization (TF), e. g, DistMult, ComplEx.
On Permutation Weights and $q$-Eulerian Polynomials
Weights of permutations were originally introduced by Dugan, Glennon, Gunnells, and Steingr\'imsson [2] in their study of the combinatorics of tiered trees.
Combinatorics 05A05
