Delfina Garcia-Pintos

Artificial Intelligence · 2015–2018

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 — 26 citations into it

Whom Delfina Garcia-Pintos trusts overall

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

1. Lester James Validad Miranda
2. Yann LeCun
3. Ofir Pele
4. Geoffrey E. Hinton
5. David H. Ackley

Who trusts Delfina Garcia-Pintos overall

1. Oscar Higgott

Papers from Delfina Garcia-Pintos's perspective

Ordered by how strongly the researchers Delfina Garcia-Pintos trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• A generative modeling approach for benchmarking and training shallow quantum circuits (2018) — 414 citations
• A benchmark database for adsorption bond energies to transition metal surfaces and comparison to selected DFT functionals (2015) — 502 citations