Seth R. Flaxman
Artificial Intelligence · 2012–2021
A researcher in the Science corpus: 22 papers; trusts 81 researchers and is trusted by 51 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 86 citations into it; #5,001 of 35,345 by trust here, #4,231 by citations
- Statistics and Probability — 53 citations into it; #8,812 of 12,932 by trust here, #4,132 by citations
- Sociology and Political Science — 39 citations into it
- Molecular Biology — 27 citations into it
- Probabilistic & Bayesian Methods — 27 citations into it
- Economics and Econometrics — 26 citations into it
- Statistical Learning Theory — 24 citations into it
- Statistical and Nonlinear Physics — 21 citations into it
Whom Seth R. Flaxman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Arthur Gretton
- Bernhard Schölkopf
- Alex Smola
- Kenji Fukumizu
- Krikamol Muandet
- Christopher K. I. Williams
- Bharath K. Sriperumbudur
- Leo Breiman
- Carl E. Rasmussen
- Ali Rahimi
Who trusts Seth R. Flaxman overall
- Krikamol Muandet
- Ro’ee Levy
- Daniel S. Weld
- Cynthia Rudin
- Eva Thelisson
- Kenji Fukumizu
- Bharath K. Sriperumbudur
- Wojciech Samek
- Motonobu Kanagawa
- Gagan Bansal
Papers from Seth R. Flaxman's perspective
Ordered by how strongly the researchers Seth R. Flaxman trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- European Union Regulations on Algorithmic Decision-Making and a "Right to Explanation" (2016) — 2,239 citations
- Bayesian Learning of Kernel Embeddings (2016) — 48 citations
- Who Supported Obama in 2012?: Ecological Inference through Distribution Regression (2015) — 62 citations
- Gaussian Processes for Independence Tests with Non-iid Data in Causal Inference (2015) — 44 citations
- Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe (2020) — 3,017 citations
- Genomics and epidemiology of the P.1 SARS-CoV-2 lineage in Manaus, Brazil (2021) — 1,280 citations
- Assessing transmissibility of SARS-CoV-2 lineage B.1.1.7 in England (2021) — 1,098 citations
- SARS-CoV-2 B.1.617.2 Delta variant replication and immune evasion (2021) — 1,134 citations
- Trends in prevalence of blindness and distance and near vision impairment over 30 years: an analysis for the Global Burden of Disease Study (2020) — 946 citations
- Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: the Right to Sight: an analysis for the Global Burden of Disease Study (2020) — 1,948 citations
- Suppression of a SARS-CoV-2 outbreak in the Italian municipality of Vo’ (2020) — 897 citations
- Is Gun Violence Contagious? A Spatiotemporal Test (2018) — 86 citations
- Magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: a systematic review and meta-analysis. (2017) — 1,903 citations
- Detecting and quantifying causal associations in large nonlinear time series datasets (2017) — 1,071 citations
- Filter Bubbles, Echo Chambers, and Online News Consumption (2016)
- EU regulations on algorithmic decision-making and a "right to explanation" (2016) — 211 citations
- A systematic analysis of global anemia burden from 1990 to 2010. (2014) — 1,945 citations
- Global, regional, and national trends in haemoglobin concentration and prevalence of total and severe anaemia in children and pregnant and non-pregnant women for 1995–2011: a systematic analysis of population-representative data (2013) — 1,707 citations
- Causes of vision loss worldwide, 1990-2010: a systematic analysis. (2013) — 1,710 citations
- Global and regional hearing impairment prevalence: an analysis of 42 studies in 29 countries. (2013) — 742 citations