Josep Arús‐Pous

Computational Theory and Mathematics · 2019

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 42 citations into it
• Model Architectures — 8 citations into it

Whom Josep Arús‐Pous trusts overall

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

1. Peter Ertl
2. Diederik P. Kingma
3. Ronald J. Williams
4. Sepp Hochreiter
5. David Weininger
6. Geoffrey E. Hinton
7. Marwin H. S. Segler
8. J. Urgen Schmidhuber
9. Jimmy Ba
10. Yoshua Bengio

Who trusts Josep Arús‐Pous overall

1. Laurianne David

Papers from Josep Arús‐Pous's perspective

Ordered by how strongly the researchers Josep Arús‐Pous trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• A de novo molecular generation method using latent vector based generative adversarial network (2019) — 356 citations
• Randomized SMILES strings improve the quality of molecular generative models (2019) — 340 citations