26 citations · 94 across the 23 of their papers we have counts for
3 papers · 1 filter
-Graph: Attention-Infused Normalizing Flow Approach to Tractable Graph Modeling
Thanh-Dat Truong, Sarah Alharbi, Susan Gauch +3
Graph modeling, a crucial task for representing complex relationships in graph-structured data, has achieved significant success in recent years. However, current graph modeling me…
QLAM: A Quantum Long-Attention Memory Approach to Long-Sequence Token Modeling
Hoang-Quan Nguyen, Sankalp Pandey, Khoa Luu
Modeling long-range dependencies in sequential data remains a central challenge in machine learning. Transformers address this challenge through attention mechanisms, but their qua…
Defining Quantum Neural Networks via Quantum Time Evolution
Aditya Dendukuri, Blake Keeling, Arash Fereidouni +3
This work presents a novel fundamental algorithm for for defining and training Neural Networks in Quantum Information based on time evolution and the Hamiltonian. Classical Neural…