Maciej Kilian

Computer Vision and Pattern Recognition · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 115 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 68 citations into it
• Generative Models — 32 citations into it
• Statistical and Nonlinear Physics — 8 citations into it

Whom Maciej Kilian trusts overall

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

1. Jonathan Ho
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Kaiming He
7. Aapo Hyvärinen
8. Yann LeCun
9. Yang Song
10. Ilya Sutskever

Papers from Maciej Kilian's perspective

Ordered by how strongly the researchers Maciej Kilian 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. GENERATIVE ADVERSARIAL NETS
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets (2023) — 2,748 citations
• DataComp-LM: In search of the next generation of training sets for language models (2024) — 374 citations