Manuel López Martín
Artificial Intelligence · 2017–2020
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it; #22,323 of 35,345 by trust here, #24,417 by citations
- Computer Networks and Communications — 19 citations into it; #5,752 of 9,886 by trust here, #8,191 by citations
- Signal Processing — 10 citations into it; #4,586 of 7,572 by trust here, #6,355 by citations
- Generative Models — 5 citations into it
Whom Manuel López Martín trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Charu C. Aggarwal
- Max Welling
- Min-Joo Kang
- B. Ingre
- Geoffrey E. Hinton
- Kihyuk Sohn
- Mahbod Tavallaee
- Yoshua Bengio
- Casper Kaae Sønderby
Who trusts Manuel López Martín overall
- Iqbal H. Sarker
- Nivedita Mishra
- Ke He
- Chaoyun Zhang
- Nadia Chaabouni
- Sharnil Pandya
- Dan Dongseong Kim
- Paul Patras
- Thanh Thi Nguyen
Papers from Manuel López Martín's perspective
Ordered by how strongly the researchers Manuel López Martín 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)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)