Dan Suciu

Artificial Intelligence · 2000–2020

A researcher in the Science corpus: 22 papers; trusts 68 researchers and is trusted by 47 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 96 citations into it; #5,248 of 35,345 by trust here, #5,600 by citations
• Computer Networks and Communications — 33 citations into it; #1,390 of 9,886 by trust here, #1,790 by citations
• Management Science and Operations Research — 29 citations into it; #6,809 of 11,946 by trust here, #5,092 by citations
• Signal Processing — 28 citations into it; #2,458 of 7,572 by trust here, #2,911 by citations
• Information Systems — 24 citations into it; #5,898 of 8,771 by trust here, #6,770 by citations
• Sociology and Political Science — 22 citations into it; #13,438 of 22,756 by trust here, #14,917 by citations
• Safety Research — 18 citations into it
• Safety, Robustness & Interpretability — 18 citations into it

Whom Dan Suciu trusts overall

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

1. John E. Hopcroft
2. Cynthia Dwork
3. Johannes Blömer
4. Alon Y. Halevy
5. Judea Pearl
6. Prithviraj Sen
7. Mehmet Altinel
8. Jeffrey D. Ullman
9. Surajit Chaudhuri
10. M. Franklin

Who trusts Dan Suciu overall

1. Michael Hay
2. Daniel Kifer
3. Ashwin Machanavajjhala
4. Mohamed A. Soliman
5. Brent Waters
6. Chao Li
7. Allison Bishop
8. Tianhao Wang
9. Ihab F. Ilyas
10. Bernd Gutmann

Papers from Dan Suciu's perspective

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

Their papers

• Relationship privacy: output perturbation for queries with joins (2009) — 163 citations
• Large-Scale Deduplication with Constraints Using Dedupalog (2009) — 218 citations
• Boosting the accuracy of differentially private histograms through consistency (2009) — 314 citations
• Controlling Access to Published Data Using Cryptography (2003) — 346 citations
• Stream processing of XPath queries with predicates (2003) — 328 citations
• Efficient Top-k Query Evaluation on Probabilistic Data (2007) — 415 citations
• ZaliQL: Causal Inference from Observational Data at Scale (2017) — 8 citations
• Typechecking for XML transformers (2000) — 319 citations
• On the Tractability of SHAP Explanations (2020) — 523 citations
• Interventional Fairness: Causal Database Repair for Algorithmic Fairness (2019) — 213 citations
• The Beckman report on database research (2016) — 51 citations
• Management of probabilistic data: foundations and challenges (2007) — 334 citations
• Interface (2007)
• Journal of the ACM (JACM): Introduction (2006) — 505 citations
• ACM Transactions on Database Systems (2005) — 426 citations
• Containment and equivalence for a fragment of XPath (2004) — 330 citations
• Efficient query evaluation on probabilistic databases (2004) — 1,057 citations
• Principles of Database Systems (2004) — 498 citations
• Containment and equivalence for an XPath fragment (2002) — 297 citations
• XMill: an efficient compressor for XML data (2000) — 569 citations