Nial Friel
Statistics and Probability · 2008–2014
A researcher in the Science corpus: 4 papers; trusts 53 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 36 citations into it; #1,309 of 12,932 by trust here, #3,038 by citations
- Artificial Intelligence — 31 citations into it; #4,597 of 35,345 by trust here, #13,760 by citations
- Probabilistic & Bayesian Methods — 21 citations into it
- Management Science and Operations Research — 5 citations into it
- Mathematical Physics — 5 citations into it
Whom Nial Friel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal
- Peter J. Green
- John Skilling
- Andrew Gelman
- Simon J. Godsill
- Antonietta Mira
- Tim Hesterberg
- Gareth O. Roberts
- Anthony N. Pettitt
- Chris J. Oates
Who trusts Nial Friel overall
- Chris J. Oates
- Mark A. Girolami
- Theodore Papamarkou
- Anna Pajor
- Sabine Hug
- John K. Kruschke
- Peter Beerli
- Ben Calderhead
- Peigui Liu
- Mathias Drton
Papers from Nial Friel's perspective
Ordered by how strongly the researchers Nial Friel trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Annealed importance sampling
- Attention is All you Need (Neural Information Processing Systems)
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Long Short-Term Memory
Their papers
- Estimating the evidence – a review (2011) — 197 citations
- Marginal likelihood estimation via power posteriors (2008) — 360 citations
- Exploiting Multi-Core Architectures for Reduced-Variance Estimation with Intractable Likelihoods (2014) — 26 citations
- Improving power posterior estimation of statistical evidence (2012) — 68 citations