Pierre Duhamel
Artificial Intelligence · 2002–2018
A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it; #30,566 of 35,345 by trust here, #30,347 by citations
- Safety, Robustness & Interpretability — 5 citations into it
Whom Pierre Duhamel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Pierre Duhamel overall
Papers from Pierre Duhamel's perspective
Ordered by how strongly the researchers Pierre Duhamel trusts endorse each paper. Same corpus, a different order for every researcher.
- A Statistical Framework for Differential Privacy
- Unsupervised Domain Adaptation by Backpropagation
- Efficient, Differentially Private Point Estimators
- Introduction to Nonparametric Estimation
- Differential Privacy: A Survey of Results
- Learning with Differential Privacy: Stability, Learnability and the Sufficiency and Necessity of ERM Principle
- Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds
- Privacy-Preserving Backpropagation Neural Network Learning
- Secure Multiterminal Source Coding With Side Information at the Eavesdropper
- Privacy Preserving Back-Propagation Neural Network Learning Made Practical with Cloud Computing
Their papers
- Learning Anonymized Representations with Adversarial Neural Networks (2018) — 61 citations
- Subspace-based blind and semi-blind channel estimation for OFDM systems (2002) — 345 citations
- Cyclic prefixing or zero padding for wireless multicarrier transmissions? (2002) — 861 citations