Théo Trouillon
Artificial Intelligence · 2014–2017
A researcher in the Science corpus: 4 papers; trusts 25 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it; #9,464 of 35,345 by trust here, #6,848 by citations
- Representation & Self-Supervised Learning — 13 citations into it; #1,391 of 3,145 by trust here, #982 by citations
- Genetics — 12 citations into it
- Knowledge Graphs & Representation — 12 citations into it
- Graph Learning — 11 citations into it; #273 of 693 by trust here, #188 by citations
- Information Systems — 10 citations into it; #8,708 of 8,771 by trust here, #6,195 by citations
- Probabilistic & Bayesian Methods — 8 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Théo Trouillon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Antoine Bordes
- Maximilian Nickel
- Ilya Sutskever
- John C. Duchi
- Geoffrey E. Hinton
- Jason Aaron Edward Weston
- Yoshua Bengio
- Ruslan Salakhutdinov
- Richard Socher
- Nicolas Usunier
Who trusts Théo Trouillon overall
- Seyed Mehran Kazemi
- Bassem Makni
- Timothée Lacroix
- Tim Rocktaschel
- Pasquale Minervini
- Bilal Abu-Salih
- Joseph Fisher
- Ivana Balazevic
- Weihua Hu
- Rishab Goel
Papers from Théo Trouillon's perspective
Ordered by how strongly the researchers Théo Trouillon 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Complex Embeddings for Simple Link Prediction (2016) — 3,691 citations
- Knowledge Graph Completion via Complex Tensor Factorization (2017) — 331 citations
- On Approximate Reasoning Capabilities of Low-Rank Vector Spaces (2015) — 98 citations
- Fast and Efficient Estimation of Individual Ancestry Coefficients (2014) — 789 citations