A. Poursartip

Probabilistic & Bayesian Methods · 2001–2019

A researcher in the Science corpus: 6 papers; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 14 citations into it

Whom A. Poursartip trusts overall

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

1. Frank D. Wood

Who trusts A. Poursartip overall

1. N. Ersoy

Papers from A. Poursartip's perspective

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

1. Long Short-Term Memory
2. Church: a language for generative models
3. BLOG: Probabilistic Models with Unknown Objects
4. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
5. Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation
6. A New Approach to Probabilistic Programming Inference
7. Inference Compilation and Universal Probabilistic Programming
8. Venture: a higher-order probabilistic programming platform with programmable inference
9. Probabilistic programming
10. Stan: A Probabilistic Programming Language

Their papers

• Deep Probabilistic Surrogate Networks for Universal Simulator Approximation (2019) — 15 citations
• Tool–part interaction in composites processing. Part I: experimental investigation and analytical model (2004) — 197 citations
• A physically based continuum damage mechanics model for thin laminated composite structures (2003) — 197 citations
• Experimental and numerical study of the effect of cure cycle, tool surface, geometry, and lay-up on the dimensional fidelity of autoclave-processed composite parts (2002) — 255 citations
• A Plane Strain Model for Process-Induced Deformation of Laminated Composite Structures (2001) — 290 citations
• Aspects of the Compaction of Composite Angle Laminates: An Experimental Investigation (2001) — 151 citations