Guillem Cucurull
Artificial Intelligence · 2017–2024
A researcher in the Science corpus: 6 papers; trusts 230 researchers and is trusted by 87 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 225 citations into it; #3,139 of 35,345 by trust here, #630 by citations
- Computer Vision and Pattern Recognition — 90 citations into it
- Natural Language Processing — 86 citations into it
- Model Architectures — 34 citations into it; #338 of 2,278 by trust here, #151 by citations
- Molecular Biology — 24 citations into it; #699 of 17,773 by trust here, #547 by citations
- Graph Learning — 17 citations into it; #107 of 693 by trust here, #17 by citations
Whom Guillem Cucurull trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Diederik P. Kingma
- Alex Krizhevsky
- Yann LeCun
- Ilya Sutskever
- Karen Simonyan
- Ross B. Girshick
- Sepp Hochreiter
Who trusts Guillem Cucurull overall
- Matthias Fey
- Vijay Prakash Dwivedi
- Yoshua Bengio
- Rex Ying
- Jure Leskovec
- William L. Hamilton
- Jiaxuan You
- Michihiro Yasunaga
- Prithviraj Ammanabrolu
- Marinka Zitnik
Papers from Guillem Cucurull's perspective
Ordered by how strongly the researchers Guillem Cucurull 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Graph Attention Networks (2017) — 27,282 citations
- Llama 2: Open Foundation and Fine-Tuned Chat Models (2023) — 17,670 citations
- Galactica: A Large Language Model for Science (2022) — 1,065 citations
- When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards (2024) — 153 citations
- Nougat: Neural Optical Understanding for Academic Documents (2023)
- On the Iterative Refinement of Densely Connected Representation Levels for Semantic Segmentation (2018) — 26 citations