Joseph Geumlek

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it; #11,512 of 35,345 by trust here, #20,377 by citations
• Privacy & Security — 23 citations into it
• Statistics and Probability — 11 citations into it; #4,072 of 12,932 by trust here, #5,481 by citations
• Sociology and Political Science — 7 citations into it
• Computer Science Applications — 5 citations into it

Whom Joseph Geumlek trusts overall

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

1. Cynthia Dwork
2. Kamalika Chaudhuri
3. Kobbi Nissim
4. Ilya Mironov
5. Daniel Kifer
6. Santosh Srinivas Vempala
7. Yu-Xiang Wang
8. Adam D. Smith
9. John C. Duchi
10. Frank McSherry

Who trusts Joseph Geumlek overall

1. Yu-Xiang Wang
2. Garrett Bernstein
3. D. Sheldon
4. Yuqing Zhu
5. Borja Balle
6. Antonio A. Ginart
7. Brendan Avent
8. Vasyl Pihur
9. Shiva Prasad Kasiviswanathan
10. L. V. D. van der Maaten

Papers from Joseph Geumlek's perspective

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

Their papers

• Renyi Differential Privacy Mechanisms for Posterior Sampling (2017) — 64 citations
• On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis (2016) — 104 citations
• Profile-based Privacy for Locally Private Computations (2019) — 21 citations