Cristian Bodnar

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 4 papers; trusts 536 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 85 citations into it
• Computer Vision and Pattern Recognition — 50 citations into it; #7,613 of 21,575 by trust here, #19,766 by citations
• Graph Learning — 44 citations into it
• Model Architectures — 21 citations into it
• Optimization & Training — 19 citations into it
• Generative Models — 18 citations into it
• Statistical and Nonlinear Physics — 17 citations into it
• Reinforcement Learning — 14 citations into it

Whom Cristian Bodnar trusts overall

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

1. Diederik P. Kingma
2. Christian Szegedy
3. Geoffrey E. Hinton
4. Jimmy Ba
5. Yoshua Bengio
6. Kaiming He
7. Alex Krizhevsky
8. Sergey Ioffe
9. Yann LeCun
10. Ilya Sutskever

Who trusts Cristian Bodnar overall

1. Xin Yi
2. Md. Zakir Hossain
3. Ekta Walia
4. Ferdous Sohel
5. Agnieszka Mikołajczyk
6. Paul S. Babyn
7. Daniel E. Ho
8. Mohd Fairuz Shiratuddin
9. Arvid Lundervold
10. Lianli Gao

Papers from Cristian Bodnar's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping (2019) — 60 citations
• Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks (2021) — 342 citations
• Weisfeiler and Lehman Go Cellular: CW Networks (2021) — 317 citations
• Text to Image Synthesis Using Generative Adversarial Networks (2018) — 38 citations