Piotr Koniusz

Artificial Intelligence · with Zhu · 2021

A researcher in the Science corpus: 1 paper; trusts 50 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Graph Learning — 17 citations into it
• Statistical and Nonlinear Physics — 10 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Information Systems — 5 citations into it

Whom Piotr Koniusz trusts overall

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

1. Diederik P. Kingma
2. Johannes Klicpera
3. Yoon Kim
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Alex Smola
7. Thomas Kipf
8. Bryan Perozzi
9. Jimmy Ba
10. Max Welling

Papers from Piotr Koniusz's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Simple Spectral Graph Convolution (2021) — 363 citations