Machine learning foundations· 1987
Hybrid Monte Carlo
On the reading lists
- #471 in the Top 500 (2026 edition)
- #41 in Machine learning foundations (2026 edition)
Why it matters
Introduced Hamiltonian-guided sampling, overcoming random-walk limitations in high-dimensional MCMC.
Condensed from the expert lists' notes.
The record
- First released
- 1987 (from OpenAlex)
- Citations
- 4,026 citations, as counted by
Semantic Scholar (non-commercial licence) - Named by
- the chatgpt list only
- Score
- 0.352 · computed rank 471 · consensus 0.3, must-read 0, citations percentile 0.75 (1980s · foundations), awards 0, existing lists 0. Method
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0), and
Semantic Scholar (used under its non-commercial API licence). Each count names its source. See the method.