Antoine Godichon-Baggioni

Optimization & Training · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 9 citations into it; #1,580 of 2,601 by trust here, #2,313 by citations
• Artificial Intelligence — 7 citations into it; #18,152 of 35,345 by trust here, #29,412 by citations

Whom Antoine Godichon-Baggioni trusts overall

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

1. Francis R. Bach
2. Hervé Cardot
3. Pascal Bianchi
4. Martin A. Zinkevich
5. David Ruppert
6. Gersende Fort
7. P. C'enac
8. Markus Weimer
9. B. Recht
10. Alex Smola

Who trusts Antoine Godichon-Baggioni overall

1. Aymeric Dieuleveut
2. Sebastian U. Stich
3. Kumar Kshitij Patel
4. Farzin Haddadpour

Papers from Antoine Godichon-Baggioni's perspective

Ordered by how strongly the researchers Antoine Godichon-Baggioni trusts endorse each paper. Same corpus, a different order for every researcher.

1. A Stochastic Approximation Method
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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• On the rates of convergence of parallelized averaged stochastic gradient algorithms (2017) — 16 citations