Clément Louis Canonne

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 13 papers; trusts 85 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 266 citations into it; #3,116 of 35,345 by trust here, #5,749 by citations
• Statistics and Probability — 134 citations into it; #2,641 of 12,932 by trust here, #2,751 by citations
• Computational Theory and Mathematics — 82 citations into it; #760 of 12,182 by trust here, #1,633 by citations
• Privacy & Security — 78 citations into it
• Computer Networks and Communications — 44 citations into it; #2,095 of 9,886 by trust here, #3,753 by citations
• Electrical and Electronic Engineering — 43 citations into it; #1,319 of 16,539 by trust here, #6,070 by citations
• Statistical Learning Theory — 37 citations into it
• Information Theory — 22 citations into it; #49 of 196 by trust here, #62 by citations

Whom Clément Louis Canonne trusts overall

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

1. Oded Goldreich
2. Jayadev Acharya
3. Liam Paninski
4. Cynthia Dwork
5. Ilias Diakonikolas
6. Ronitt Rubinfeld
7. Gregory Valiant
8. John C. Duchi
9. Yanjun Han
10. Kobbi Nissim

Who trusts Clément Louis Canonne overall

1. Jayadev Acharya
2. Sivaraman Balakrishnan
3. Peter Kairouz
4. Himanshu Tyagi
5. Ziteng Sun
6. Alexandr Andoni
7. Ilias Diakonikolas
8. Matthew Joseph
9. Oded Goldreich
10. Matey Neykov

Papers from Clément Louis Canonne's perspective

Ordered by how strongly the researchers Clément Louis Canonne 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. Calibrating Noise to Sensitivity in Private Data Analysis
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Information Theory: 1948-1998 - Guest Editorial

Their papers

• Inference Under Information Constraints I: Lower Bounds From Chi-Square Contraction (2018) — 126 citations
• The Discrete Gaussian for Differential Privacy (2020) — 345 citations
• The structure of optimal private tests for simple hypotheses (2018) — 90 citations
• A Survey on Distribution Testing: Your Data is Big. But is it Blue? (2020) — 257 citations
• Distributed Simulation and Distributed Inference (2018) — 26 citations
• Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit (2019) — 28 citations
• Testing Shape Restrictions of Discrete Distributions (2015) — 90 citations
• Inference Under Information Constraints II: Communication Constraints and Shared Randomness (2019) — 66 citations
• Distribution Testing Lower Bounds via Reductions from Communication Complexity (2019) — 59 citations
• Inference Under Information Constraints III: Local Privacy Constraints (2021) — 40 citations
• Unified lower bounds for interactive high-dimensional estimation under information constraints (2020) — 41 citations
• Distributed Signal Detection under Communication Constraints (2020) — 26 citations
• Test without Trust: Optimal Locally Private Distribution Testing (2018) — 64 citations