Titouan Vayer
Computer Vision and Pattern Recognition · 2018–2021
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 15 citations into it
- Graph Learning — 14 citations into it
- Computational Mechanics — 8 citations into it
- Optimization & Training — 8 citations into it
- Applied Mathematics — 6 citations into it
Whom Titouan Vayer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marco Cuturi
- Karsten M. Borgwardt
- Cédric Villani
- Facundo M'emoli
- Nino Shervashidze
- G. Peyr'e
- S. V. N. Vishwanathan
- Krzysztof Nowicki
- Ronny Luss
- Thomas Gärtner
Who trusts Titouan Vayer overall
Papers from Titouan Vayer's perspective
Ordered by how strongly the researchers Titouan Vayer 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)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- POT: Python Optimal Transport (2021) — 1,118 citations
- Optimal Transport for structured data with application on graphs (2018) — 361 citations