Olivier Toubia
Marketing · 2006–2018
A researcher in the Science corpus: 6 papers; trusts 37 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Marketing — 41 citations into it; #1,147 of 6,289 by trust here, #1,095 by citations
- Economics and Econometrics — 31 citations into it; #18,658 of 23,481 by trust here, #13,168 by citations
- Management Science and Operations Research — 29 citations into it; #7,451 of 11,946 by trust here, #3,705 by citations
- Sociology and Political Science — 27 citations into it; #2,255 of 22,756 by trust here, #3,518 by citations
- Artificial Intelligence — 22 citations into it
- Statistical and Nonlinear Physics — 18 citations into it
- Information Systems — 14 citations into it
- Communication — 10 citations into it
Whom Olivier Toubia trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David E. Goldberg
- John Rust
- Andrew Gelman
- David M. Blei
- Duncan Simester
- Meeyoung Cha
- Haewoon Kwak
- Eric von Hippel
- Dan Jurafsky
- David Mimno
Who trusts Olivier Toubia overall
- Barry L. Bayus
- Clara Xiaoling Chen
- P. K. Kannan
- Tong Wang
- Michael G. Williamson
- Andrew T. Stephen
- Eric Wing Kuen See-To
- Cait Lamberton
- Maria Antikainen
- Sung-Bum Kim
Papers from Olivier Toubia's perspective
Ordered by how strongly the researchers Olivier Toubia trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Latent Dirichlet Allocation
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- A Semantic Approach for Estimating Consumer Content Preferences from Online Search Queries (2018) — 79 citations
- Deriving Value from Social Commerce Networks (2010) — 903 citations
- Intrinsic vs. Image-Related Utility in Social Media: Why Do People Contribute Content to Twitter? (2013) — 461 citations
- Idea Generation, Creativity, and Incentives (2006) — 286 citations
- Disjunctions of Conjunctions, Cognitive Simplicity, and Consideration Sets (2010) — 172 citations
- Beyond conjoint analysis: Advances in preference measurement (2008) — 158 citations