Marco Baity-Jesi

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Optimization & Training — 30 citations into it
• Materials Chemistry — 27 citations into it; #7,431 of 11,513 by trust here, #7,227 by citations
• AI for Physical Sciences — 23 citations into it

Whom Marco Baity-Jesi trusts overall

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

1. Yann LeCun
2. Levent Sagun
3. C. Freeman
4. Tommaso Castellani
5. L. Eon Bottou
6. Geoffrey E. Hinton
7. Kaiming He
8. Yoshua Bengio
9. Diederik P. Kingma
10. Anna Choromanska

Who trusts Marco Baity-Jesi overall

1. Mario Geiger
2. Stefano Spigler
3. Grant M. Rotskoff

Papers from Marco Baity-Jesi's perspective

Ordered by how strongly the researchers Marco Baity-Jesi 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Comparing dynamics: deep neural networks versus glassy systems (2018) — 131 citations
• The jamming transition as a paradigm to understand the loss landscape of deep neural networks (2018) — 157 citations