Filip Zelezný

Artificial Intelligence · 2012–2018

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it

Whom Filip Zelezný trusts overall

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

1. Jerome H. Friedman
2. Jordan B. Pollack
3. Peter A. Flach
4. A.S. d'Avila Garcez
5. Pedro M. Domingos
6. Matthew Richardson

Papers from Filip Zelezný's perspective

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

1. Gradient-based learning applied to document recognition
2. Recursive Distributed Representations
3. Markov logic networks
4. Greedy function approximation: A gradient boosting machine.
5. ImageNet classification with deep convolutional neural networks
6. Causality : Models , Reasoning , and Inference
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Neural-symbolic learning systems - foundations and applications
9. Foundations of Logic Programming
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Lifted Relational Neural Networks: Efficient Learning of Latent Relational Structures (2018) — 98 citations
• Causal Learning (2012)