Bryan R. Routledge
Artificial Intelligence · 2000–2021
A researcher in the Science corpus: 8 papers; trusts 13 researchers and is trusted by 37 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 35 citations into it; #11,432 of 35,345 by trust here, #6,796 by citations
- Economics and Econometrics — 30 citations into it; #5,077 of 23,481 by trust here, #4,106 by citations
- Finance — 16 citations into it; #2,695 of 10,518 by trust here, #2,034 by citations
- Optimization & Training — 7 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
- Sociology and Political Science — 5 citations into it; #20,353 of 22,756 by trust here, #17,766 by citations
Whom Bryan R. Routledge trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert D. Putnam
- David M. Blei
- Erzo G. J. Luttmer
- Martin A. Zinkevich
- Robert F. Engle
- Tim Bollerslev
- Masa-aki Sato
- William S. Cleveland
- Stuart S. Rosenthal
- John C. Duchi
Who trusts Bryan R. Routledge overall
- Rama Cont
- Larry G. Epstein
- Francis A. Longstaff
- Robert S. Pindyck
- C. Carter
- Martin Schneider
- Philipp Karl Illeditsch
- Omair Haroon
- Pietro Ortoleva
- Fabio Sabatini
Papers from Bryan R. Routledge's perspective
Ordered by how strongly the researchers Bryan R. Routledge trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Dynamic Language Models for Streaming Text (2014) — 35 citations
- From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series (2010) — 2,148 citations
- Model Uncertainty and Liquidity (2001) — 217 citations
- Predicting Risk from Financial Reports with Regression (2009) — 328 citations
- Exotic Preferences for Macroeconomists (2004) — 199 citations
- Equilibrium Forward Curves for Commodities (2000) — 496 citations
- FinQA: A Dataset of Numerical Reasoning over Financial Data (2021) — 739 citations
- Social Capital and Growth (2003) — 183 citations