Walter Hugo Lopez Pinaya
Computer Vision and Pattern Recognition · 2017–2022
A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 35 citations into it
- Artificial Intelligence — 26 citations into it
- Generative Models — 14 citations into it
- Model Architectures — 6 citations into it
- Statistical and Nonlinear Physics — 5 citations into it
Whom Walter Hugo Lopez Pinaya trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Jonathan Ho
- Alex Krizhevsky
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Yann LeCun
- Kaiming He
- Karen Simonyan
- Robin Rombach
Who trusts Walter Hugo Lopez Pinaya overall
Papers from Walter Hugo Lopez Pinaya's perspective
Ordered by how strongly the researchers Walter Hugo Lopez Pinaya 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Brain Imaging Generation with Latent Diffusion Models (2022) — 470 citations
- Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications (2017) — 574 citations