Direct Training of SNN using Local Zeroth Order Method

B. Mukhoty, Velibor Bojkovic, William de Vazelhes, Xiaohan Zhao, Giulia De Masi +2 more
2/12/2026

No official code found. Best implementation: BhaskarMukhoty/LocalZO (6 stars, MIT, last commit 2023-12-07).

DOISemantic Scholar

Code Implementations(1)

BhaskarMukhoty/LocalZOCommunity69%
MIT

Direct Training of SNN using Local Zeroth Order Method

62C++, CudaOct 25, 20232 years agoMIT

Similar Papers

Enhancing Language Model Agents using Diversity of Thoughts

97% match2026

A Unifying Framework to the Analysis of Interaction Methods using Synergy Functions

90% match2026

Efficient Training of Language Models using Few-Shot Learning

90% match2026

MiraGe: Editable 2D Images using Gaussian Splatting

90% match1 repo1112026

EQA-MX: Embodied Question Answering using Multimodal Expression

86% match2026

Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model

86% match2026

Cite this paper

@article{mukhoty2026direct,
  title  = {Direct Training of SNN using Local Zeroth Order Method},
  author = {B. Mukhoty and Velibor Bojkovic and William de Vazelhes and Xiaohan Zhao and Giulia De Masi and Huan Xiong and Bin Gu},
  year   = {2026},
  doi    = {10.52202/075280-0832},
  url    = {https://doi.org/10.52202/075280-0832},
  journal = {NEURIPS 2023 2023}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/09bc7a4f9dc1f7a105beb980fe0d984f253ad007.svg)](https://codeofpaper.com/paper/09bc7a4f9dc1f7a105beb980fe0d984f253ad007)

Discussion