David Noursi

2020

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom David Noursi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Radford M. Neal
2. Vivek S. Borkar
3. Matthew D. Hoffman

Papers from David Noursi's perspective

Ordered by how strongly the researchers David Noursi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Automatic differentiation in PyTorch
2. Hybrid Monte Carlo
3. The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo
4. Stan: A Probabilistic Programming Language
5. BLOG: Probabilistic Models with Unknown Objects
6. Pyro: Deep Universal Probabilistic Programming
7. Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation
8. Equation of State Calculations by Fast Computing Machines
9. Probabilistic models with unknown objects
10. C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching

Their papers

• Bean Machine: A Declarative Probabilistic Programming Language For Efficient Programmable Inference (2020) — 15 citations