Marco Tripodi

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Cognitive Neuroscience — 8 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Cellular and Molecular Neuroscience — 6 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Marco Tripodi trusts overall

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

1. Michalis K. Titsias
2. Zoubin Ghahramani
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Iain Murray
6. Radford M. Neal
7. Danilo Jimenez Rezende
8. Neil D. Lawrence
9. John P. Cunningham
10. L. V. D. van der Maaten

Papers from Marco Tripodi's perspective

Ordered by how strongly the researchers Marco Tripodi trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Manifold GPLVMs for discovering non-Euclidean latent structure in neural data (2020) — 36 citations