cs.NE · 2026-07-30 · No. 69

Neural and Evolutionary Computing, 2026-07-30.

2 new papers in cs.NE. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

2 entries
  1. 01

    The Sparsity Ceiling: Where Spiking Networks Can and Cannot Trade Activity for Energy

    Zeyu Wang

    cs.NE · cs.LG

    Spiking neural networks (SNNs) are promoted as an energy-efficient substrate because sparse, event-driven activity replaces dense multiply-accumulates with cheap accumulates. We argue the energy dividend of sparsity is not a property of SNNs but of the task. Holding architecture fixed and swapping only the hidden unit (continuous vs. leaky-integrate-and-fire), plus a two-sided target-firing-rate probe, we measure how far activity can be...

    arxiv.org/abs/2607.26648 · PDF

  2. 02

    Shared Symbolic Backbones for Physically Consistent Multi-Output Symbolic Regression

    Manuel Rodriguez

    cs.NE · cs.AI · cs.CE

    Symbolic regression provides analytical expressions, but it is usually applied one output at a time. This is limiting in process systems, where state variables are often coupled through shared physical parameters. Independent symbolic regression can give accurate individual equations that are difficult to interpret as one model. We present a neuro-evolutionary symbolic regression method for coupled multi-output systems. The method searches...

    arxiv.org/abs/2607.26528 · PDF

This edition is part of The Daily Abstract — cs.NE archive. Subscribe to receive these in your inbox each morning, automatically translated to Spanish, with reply-to-PDF: arxivdaily.ignorelist.com.

Colophon Set in Georgia, with system sans for interface chrome and a monospaced stack for code and paper identifiers. Sole accent: amber #D99C5E. Built and served on an always-free VM. The masthead is set 14% letterspaced because newspapers do that and it works.