Ioannis Panageas

2016–2018

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Whom Ioannis Panageas trusts overall

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

1. Yurii E. Nesterov
2. Individualized Treat
3. Boris Polyak
4. Robin Pemantle
5. Martín Arjovsky
6. Constantinos Daskalakis
7. Rong Ge
8. E.J. Candes
9. L. Eon Bottou
10. Jinsung Yoon

Who trusts Ioannis Panageas overall

1. Chi Jin
2. Simon Shaolei Du
3. Levent Sagun
4. Michael I. Jordan
5. Praneeth Netrapalli
6. Constantinos Daskalakis
7. Wei Hu
8. Tianyi Lin
9. Jason D. Lee
10. Gauthier Gidel

Papers from Ioannis Panageas's perspective

Ordered by how strongly the researchers Ioannis Panageas trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. GENERATIVE ADVERSARIAL NETS
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization (2018) — 294 citations
• Gradient Descent Only Converges to Minimizers: Non-Isolated Critical Points and Invariant Regions (2016) — 160 citations