Sebastijan Dumancic
Artificial Intelligence · 2016–2019
A researcher in the Science corpus: 6 papers; trusts 75 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 85 citations into it; #23,331 of 35,345 by trust here, #13,962 by citations
- Computer Vision and Pattern Recognition — 25 citations into it
- Graph Learning — 18 citations into it
- Natural Language Processing — 18 citations into it
- Representation & Self-Supervised Learning — 17 citations into it
- Knowledge Graphs & Representation — 10 citations into it
- Probabilistic & Bayesian Methods — 9 citations into it
- Computational Theory and Mathematics — 8 citations into it
Whom Sebastijan Dumancic trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Luc De Raedt
- Diederik P. Kingma
- Yann LeCun
- Geoffrey E. Hinton
- Hendrik Blockeel
- Antoine Bordes
- Alex Krizhevsky
- Ruslan Salakhutdinov
- Matthew Richardson
Who trusts Sebastijan Dumancic overall
- Woojeong Jin
- Hendrik Blockeel
- Robin Manhaeve
- A.S. d'Avila Garcez
- Seyed Mehran Kazemi
- Luc De Raedt
- Shaoxiong Ji
- Cunchao Zhu
- Chadi Helwe
- Ugur Kursuncu
Papers from Sebastijan Dumancic's perspective
Ordered by how strongly the researchers Sebastijan Dumancic trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Learning Sequence Encoders for Temporal Knowledge Graph Completion (2018) — 557 citations
- Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation (2016) — 15 citations
- Demystifying Relational Latent Representations (2017) — 7 citations
- Learning Relational Representations with Auto-encoding Logic Programs (2019) — 30 citations
- Neuro-Symbolic = Neural + Logical + Probabilistic (2019) — 50 citations
- DeepProbLog: Neural Probabilistic Logic Programming (2018) — 764 citations