Neural Network simulation

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Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (21 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Fast Algorithms for Spiking Neural Network Simulation with FPGAs
  3 May 2024 1 repository listed
  Using OpenCL-based high-level synthesis, we create a number of spiking neural network (SNN) simulators for the Potjans-Diesmann cortical microcircuit for a high-end Field-Programmable Gate Array (FPGA).
• Application of machine learning regression models to inverse eigenvalue problems
  8 Dec 2022 1 repository listed
  In this work, we study the numerical solution of inverse eigenvalue problems from a machine learning perspective.
• Benchmarking Data-driven Surrogate Simulators for Artificial Electromagnetic Materials
  6 Nov 2021 1 repository listed
  Recently, it has been shown that deep learning can be an alternative solution to infer the relationship between an AEM geometry and its properties using a (relatively) small pool of CEMS data.
• Physics-informed neural network simulation of multiphase poroelasticity using stress-split sequential training
  6 Oct 2021 1 repository listed
  Physics-informed neural networks (PINNs) have received significant attention as a unified framework for forward, inverse, and surrogate modeling of problems governed by partial differential equations (PDEs).
• Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement Learning
  24 Feb 2020 1 repository listed
  In this paper, we investigate the joint design of transmit beamforming matrix at the base station and the phase shift matrix at the RIS, by leveraging recent advances in deep reinforcement learning (DRL).
• Neural Network-Hardware Co-design for Scalable RRAM-based BNN Accelerators
  6 Nov 2018 1 repository listed
  Recently, RRAM-based Binary Neural Network (BNN) hardware has been gaining interests as it requires 1-bit sense-amp only and eliminates the need for high-resolution ADC and DAC.
• BindsNET: A machine learning-oriented spiking neural networks library in Python
  4 Jun 2018 1 repository listed
  In this paper, we describe a new Python package for the simulation of spiking neural networks, specifically geared towards machine learning and reinforcement learning.