Generative models· 1985
A learning algorithm for Boltzmann machines
On the reading lists
- #279 in the Top 500 (2026 edition)
- #18 in Generative models (2026 edition)
Why it matters
Established stochastic energy-based neural networks and learning through equilibrium statistics.
Condensed from the expert lists' notes.
The record
- First released
- 1985 (from OpenAlex)
- Citations
- 3,405 citations, as counted by OpenAlex (CC0)
- Named by
- both expert lists
- Also relevant to
- Deep learning
- Score
- 0.459 · computed rank 279 · consensus 0.75, must-read 0.5, citations percentile 0.525 (1980s · all domains), awards 0, existing lists 0. Method
Editor's notes
- Readability check: pass: Boltzmann machine learning; readable with the prerequisites. (AI draft (Claude), not yet reviewed, 2026-10-29)
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.