Manolis Zampetakis

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 58 citations into it
• Management Science and Operations Research — 17 citations into it
• Optimization & Training — 16 citations into it
• Statistics and Probability — 9 citations into it
• Computational Mechanics — 8 citations into it
• Statistical Learning Theory — 7 citations into it

Whom Manolis Zampetakis trusts overall

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

1. Diederik P. Kingma
2. John C. Duchi
3. Roman Vershynin
4. Chi Jin
5. Jimmy Ba

Papers from Manolis Zampetakis's perspective

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

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

Their papers

• The complexity of constrained min-max optimization (2020) — 169 citations
• Tree of Attacks: Jailbreaking Black-Box LLMs Automatically (2023) — 711 citations
• Efficient Statistics, in High Dimensions, from Truncated Samples (2018) — 59 citations