arXiv (All)
open access
Exact Realization of Deep ReLU Computation in a Microscopic Statistical-Mechanical System
Understanding the physical origin of the piecewise-linear computation in deep rectified linear unit (ReLU) networks remains a fundamental challenge. Here we establish an exact statistical-mechanical realization of arbitrary ReLU networks. Starting from a microscopic configuration space and its state
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Stochastic intracellular calcium dynamics show preserved structures identified by deep learning classification.#156883
- RepNN: Tackling spectral bias in deep neural networks for regression and PDE problems via parameter reparameterization#1129304
- Official Review · NEURIPS 2024#787083
- Breaking the Geometric Bottleneck: Contrastive Expansion in Asymmetric Cross-Modal Distillation#821804
- Approximability of deep computations#987383
Record · ID 1048360
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive