Luca Venturi

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 36 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 63 citations into it
• Optimization & Training — 31 citations into it; #2,563 of 2,601 by trust here, #1,715 by citations
• Computer Vision and Pattern Recognition — 20 citations into it
• Statistical Learning Theory — 19 citations into it
• Scaling & Learning Theory — 19 citations into it; #415 of 428 by trust here, #307 by citations
• Computational Mechanics — 18 citations into it
• Statistics and Probability — 12 citations into it
• Model Architectures — 10 citations into it

Whom Luca Venturi trusts overall

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

1. Francis R. Bach
2. Jeffrey Pennington
3. Itay Safran
4. Jason D. Lee
5. Simon Shaolei Du
6. Rong Ge
7. Ohad Shamir
8. Geoffrey E. Hinton
9. L. Eon Bottou
10. Yoshua Bengio

Who trusts Luca Venturi overall

1. Simon Shaolei Du
2. Eugene Belilovsky
3. Colin Wei
4. Stefano Spigler
5. Jason D. Lee
6. Stéphane d'Ascoli
7. Mario Geiger
8. Lénaïc Chizat
9. Yuanbin Cao
10. Grant M. Rotskoff

Papers from Luca Venturi's perspective

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

Their papers

• Spurious Valleys in One-hidden-layer Neural Network Optimization Landscapes (2019) — 87 citations
• Neural Networks with Finite Intrinsic Dimension have no Spurious Valleys (2018) — 60 citations