Georgios Piliouras

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 7 papers; trusts 44 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 71 citations into it; #25,968 of 35,345 by trust here, #17,110 by citations
• Optimization & Training — 42 citations into it
• Management Science and Operations Research — 38 citations into it; #8,479 of 11,946 by trust here, #4,267 by citations
• Game & Decision Theory — 36 citations into it
• Generative Models — 33 citations into it; #1,506 of 1,956 by trust here, #1,221 by citations
• Computer Vision and Pattern Recognition — 31 citations into it; #16,055 of 21,575 by trust here, #10,905 by citations
• Reinforcement Learning — 31 citations into it
• Computational Mechanics — 17 citations into it; #9,736 of 10,001 by trust here, #5,157 by citations

Whom Georgios Piliouras trusts overall

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

1. Yurii E. Nesterov
2. Geoffrey E. Hinton
3. L. Eon Bottou
4. Ian J. Goodfellow
5. Diederik P. Kingma
6. Yoshua Bengio
7. Boris Polyak
8. Alex Krizhevsky
9. Yann LeCun
10. Daniel McFadden

Who trusts Georgios Piliouras overall

1. Simon Shaolei Du
2. Constantinos Daskalakis
3. Levent Sagun
4. Panayotis Mertikopoulos

Papers from Georgios Piliouras's perspective

Ordered by how strongly the researchers Georgios Piliouras 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. GENERATIVE ADVERSARIAL NETS
6. ImageNet Large Scale Visual Recognition Challenge
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• The Unusual Effectiveness of Averaging in GAN Training (2018) — 183 citations
• Cycles in adversarial regularized learning (2017) — 365 citations
• α-Rank: Multi-Agent Evaluation by Evolution (2019) — 141 citations
• From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization (2020) — 107 citations
• Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile (2018) — 342 citations
• Mirror descent in saddle-point problems: Going the extra (gradient) mile (2018) — 33 citations
• Gradient Descent Only Converges to Minimizers: Non-Isolated Critical Points and Invariant Regions (2016) — 160 citations