Nicholas Matthew Boffi
Computer Vision and Pattern Recognition · 2023–2025
A researcher in the Science corpus: 3 papers; trusts 173 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 84 citations into it
- Artificial Intelligence — 59 citations into it
- Generative Models — 39 citations into it
- Statistical and Nonlinear Physics — 32 citations into it
- Probabilistic & Bayesian Methods — 20 citations into it
- Model Architectures — 14 citations into it
- Signal Processing — 14 citations into it
- Biophysics — 12 citations into it
Whom Nicholas Matthew Boffi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yang Song
- Pascal Vincent
- Yoshua Bengio
- Alex Krizhevsky
- Danilo Jimenez Rezende
- Kaiming He
- Esteban G. Tabak
- Yann LeCun
Who trusts Nicholas Matthew Boffi overall
Papers from Nicholas Matthew Boffi's perspective
Ordered by how strongly the researchers Nicholas Matthew Boffi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- GENERATIVE ADVERSARIAL NETS