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Training Deep Boltzmann Networks with Sparse Ising Machines
Work
Year: 2023
Type: preprint
Abstract: The slowing down of Moore's law has driven the development of unconventional computing paradigms, such as specialized Ising machines tailored to solve combinatorial optimization problems. In this pape... more
Source: arXiv (Cornell University)
Authors Shaila Niazi, Navid Anjum Aadit, Masoud Mohseni, Shuvro Chowdhury, Yao Qin +1 more
Institutions University of California, Santa Barbara, Google (United States)
Cites: 65
Cited by: 1
Related to: 10
Citation percentile (by year/subfield): 70.24
Topic: Generative Adversarial Networks and Image Synthesis
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Peace, justice, and strong institutions
Open Access status: green