Sampling binary sparse coding QUBO models using a spiking neuromorphic processor

K Henke, E Pelofske, G Hahn, G Kenyon - Proceedings of the 2023 …, 2023‏ - dl.acm.org
We consider the problem of computing a sparse binary representation of an image. To be
precise, given an image and an overcomplete, non-orthonormal basis, we aim to find a …

Comparing Quantum Annealing and Spiking Neuromorphic Computing for Sampling Binary Sparse Coding QUBO Problems

K Henke, E Pelofske, G Kenyon, G Hahn - arxiv preprint arxiv:2405.20525, 2024‏ - arxiv.org
We consider the problem of computing a sparse binary representation of an image. To be
precise, given an image and an overcomplete, non-orthonormal basis, we aim to find a …

Fast post-hoc normalization for brain inspired sparse coding on a neuromorphic device

K Henke, GT Kenyon, B Migliori - IEEE transactions on parallel …, 2021‏ - ieeexplore.ieee.org
Exploration of novel computational platforms is critical for the advancement of artificial
intelligence as we approach the physical limitations of traditional hardware. Biologically …

Alien vs. Predator: Brain Inspired Sparse Coding Optimization on Neuromorphic and Quantum Devices

K Henke, B Migliori, GT Kenyon - … International Conference on …, 2020‏ - ieeexplore.ieee.org
Machine Learning has achieved immense progress by exploiting CPUs and GPUs on
classical computing hardware. However, the inevitable end of Moore's Law on these devices …

Analysis and Computation of Constrained Sparse Coding on Emerging non-von Neumann Devices

K Henke - 2024‏ - digitalrepository.unm.edu
This dissertation seeks to understand how different formulations of the neurally inspired
Locally Competitive Algorithm (LCA) represent and solve optimization problems. By studying …

[ספר][B] Rapid and Facile Growth of High-Quality 2D MoTe2

P Yadav - 2024‏ - search.proquest.com
Transition metal dichalcogenides based on transition metals (like Mo, W, Ta) and
chalcogens (like S, Se, Te) are important two-dimensional (2D) materials in materials …