Lowik Chanussot

Artificial Intelligence · 2020

A researcher in the Science corpus: 3 papers; trusts 37 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it; #15,053 of 35,345 by trust here, #13,544 by citations
• Natural Language Processing — 36 citations into it; #2,753 of 5,688 by trust here, #2,888 by citations
• Computer Vision and Pattern Recognition — 24 citations into it
• Model Architectures — 10 citations into it
• Large Language Models — 7 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Lowik Chanussot trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Ilya Sutskever
4. Guillaume Lample
5. Diederik P. Kingma
6. Yann LeCun
7. Alex Krizhevsky
8. Dzmitry Bahdanau
9. Kaiming He
10. Kyunghyun Cho

Who trusts Lowik Chanussot overall

1. Baptiste Rozière
2. Johannes Klicpera
3. Tomasz Korbak
4. Johannes Brandstetter
5. Yidong Liao
6. Yichen Xu
7. Vincent J. Hellendoorn

Papers from Lowik Chanussot's perspective

Ordered by how strongly the researchers Lowik Chanussot trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Unsupervised Translation of Programming Languages (2020) — 573 citations
• The Open Catalyst 2020 (OC20) Dataset and Community Challenges (2020) — 822 citations
• An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage (2020) — 83 citations