Cristian Regep
Artificial Intelligence · 2016–2021
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 50 citations into it
- Graph Learning — 38 citations into it
Whom Cristian Regep trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Jure Leskovec (in Graph Learning)
Papers from Cristian Regep's perspective
Ordered by how strongly the researchers Cristian Regep trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Efficient Estimation of Word Representations in Vector Space
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Convolutional Networks on Graphs for Learning Molecular Fingerprints
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- SAbPred: a structure-based antibody prediction server (2016) — 197 citations
- Utilizing graph machine learning within drug discovery and development (2021) — 308 citations