Edgar Dobriban

Artificial Intelligence · 2012–2024

A researcher in the Science corpus: 6 papers; trusts 181 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 146 citations into it; #31,120 of 35,345 by trust here, #12,387 by citations
• Computer Vision and Pattern Recognition — 58 citations into it
• Safety, Robustness & Interpretability — 32 citations into it
• Statistics and Probability — 29 citations into it; #6,024 of 12,932 by trust here, #9,233 by citations
• Optimization & Training — 26 citations into it
• Model Architectures — 18 citations into it
• Representation & Self-Supervised Learning — 17 citations into it
• Computational Mechanics — 15 citations into it; #8,837 of 10,001 by trust here, #8,566 by citations

Whom Edgar Dobriban trusts overall

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

1. L. Eon Bottou
2. Geoffrey E. Hinton
3. Kaiming He
4. Yann LeCun
5. Alex Krizhevsky
6. Yoshua Bengio
7. Peter L. Bartlett
8. Diederik P. Kingma
9. Vladimir Naumovich Vapnik
10. Ilya Sutskever

Who trusts Edgar Dobriban overall

1. Wesley J. Maddox
2. Stefan Wager
3. Bruno Loureiro
4. Jaouad Mourtada
5. Dmitry Kobak
6. Gregory W. Benton
7. Wenfei Du
8. Andreas M. Tillmann
9. Alexander Robey
10. Ayush Kumar Tarun

Papers from Edgar Dobriban's perspective

Ordered by how strongly the researchers Edgar Dobriban 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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• DeltaGrad: Rapid retraining of machine learning models (2020) — 275 citations
• Jailbreaking Black Box Large Language Models in Twenty Queries (2023) — 1,568 citations
• High-Dimensional Asymptotics of Prediction: Ridge Regression and Classification (2015) — 342 citations
• JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models (2024) — 556 citations
• A Group-Theoretic Framework for Data Augmentation (2019) — 241 citations
• Certifying the Restricted Isometry Property is Hard (2012) — 248 citations