Variational Inference Using High Speed Photonic Neural Networks

James Garofolo, Taichu Shi, Paul Prucnal, Ben Wu

Research output: Contribution to conferencePaperpeer-review

Abstract

We propose a method of performing variational inference using high speed photonic neural accelerators. This method incurs no slowdown compared to deterministic photonic inference, affecting only the power consumption of existing accelerator architectures.

Original languageEnglish (US)
StatePublished - 2024
Externally publishedYes
Event2024 Frontiers in Optics, FiO 2024 - Denver, United States
Duration: Sep 23 2024Sep 26 2024

Conference

Conference2024 Frontiers in Optics, FiO 2024
Country/TerritoryUnited States
CityDenver
Period9/23/249/26/24

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • General Computer Science
  • Space and Planetary Science
  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics

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