Giancarlo Fissore

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Probabilistic & Bayesian Methods — 14 citations into it
• Statistics and Probability — 5 citations into it

Whom Giancarlo Fissore trusts overall

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

1. Aapo Hyvärinen
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Esteban G. Tabak
5. Oren Rippel
6. Yann LeCun
7. George Papamakarios
8. Yoshua Bengio
9. L. Eon Bottou
10. Jens Behrmann

Papers from Giancarlo Fissore's perspective

Ordered by how strongly the researchers Giancarlo Fissore 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. GENERATIVE ADVERSARIAL NETS
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• Relative gradient optimization of the Jacobian term in unsupervised deep learning (2020) — 24 citations