Constantin Philippenko

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Optimization & Training — 21 citations into it
• Computational Mechanics — 8 citations into it
• Efficiency & Compression — 8 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Federated & Distributed Learning — 6 citations into it

Whom Constantin Philippenko trusts overall

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

1. L. Eon Bottou
2. Peter Elias
3. Aymeric Dieuleveut
4. Kumar Kshitij Patel
5. Daoli Zhu
6. Yurii E. Nesterov
7. Samuel Horváth
8. Tong Zhang
9. Frank Torsten Bernd Seide
10. Sai Praneeth Karimireddy

Who trusts Constantin Philippenko overall

1. Chaoyang He

Papers from Constantin Philippenko's perspective

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

Their papers

• Artemis: tight convergence guarantees for bidirectional compression in Federated Learning (2020) — 22 citations