Michael Tingley

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 Michael Tingley trusts overall

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

1. Radford M. Neal

Papers from Michael Tingley's perspective

Ordered by how strongly the researchers Michael Tingley 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. Bayesian Learning via Stochastic Dynamics

Their papers

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