Dimitrios I. Diochnos

Artificial Intelligence · 2018

A researcher in the Science corpus: 3 papers; trusts 36 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 68 citations into it; #27,030 of 35,345 by trust here, #21,878 by citations
• Safety, Robustness & Interpretability — 58 citations into it; #2,105 of 2,251 by trust here, #1,880 by citations
• Computer Networks and Communications — 18 citations into it
• Statistics and Probability — 15 citations into it
• Signal Processing — 12 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Statistical Learning Theory — 10 citations into it; #1,020 of 1,038 by trust here, #770 by citations
• Information Systems — 6 citations into it

Whom Dimitrios I. Diochnos trusts overall

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

1. Leslie G. Valiant
2. Elisabeth Köbis
3. Saeed Mahloujifar
4. Ilias Diakonikolas
5. Ian J. Goodfellow
6. Christian Szegedy
7. Nicholas Carlini
8. Blaine Nelson
9. Battista Biggio
10. Alhussein Fawzi

Who trusts Dimitrios I. Diochnos overall

1. Saeed Mahloujifar
2. Mohammad Mahmoody
3. Elvis Dohmatob
4. Andrew Ilyas

Papers from Dimitrios I. Diochnos's perspective

Ordered by how strongly the researchers Dimitrios I. Diochnos 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Intriguing properties of neural networks
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure (2018) — 161 citations
• Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution (2018) — 77 citations
• Learning under p-Tampering Attacks (2018) — 27 citations