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News/A Physics-Inspired Optimizer: Velocity Regularized Adam
arxiv
PublishedJune 11, 2026 at 4:00 AM
▲bullish

A Physics-Inspired Optimizer: Velocity Regularized Adam

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2505.13196v3 Announce Type: replace-cross Abstract: We introduce Velocity-Regularized Adam (VRAdam), a physics-inspired optimizer for training deep neural networks that draws on ideas from quartic terms for kinetic energy with its stabilizing effects on various system dynamics. Previous algori

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Discussion
Mentioned models
03
  • 01
    Velocity-Regularized Adam (VRAdam)
  • 02
    Adam
  • 03
    AdamW
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#optimization#deep-learning#machine-learning

No replies yet. Be first.

Mentioned models
03
  • 01
    Velocity-Regularized Adam (VRAdam)
  • 02
    Adam
  • 03
    AdamW
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#optimization#deep-learning#machine-learning

Related coverage

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