Jesse C. Cresswell
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 23 citations into it
Whom Jesse C. Cresswell trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jesse C. Cresswell's perspective
Ordered by how strongly the researchers Jesse C. Cresswell trusts endorse each paper. Same corpus, a different order for every researcher.
- Densely Connected Convolutional Networks
- Deep Learning with Differential Privacy
- Calibrating Noise to Sensitivity in Private Data Analysis
- The Algorithmic Foundations of Differential Privacy
- Communication-Efficient Learning of Deep Networks from Decentralized Data
- Boosting and Differential Privacy
- Learning to learn by gradient descent by gradient descent
- Our Data, Ourselves: Privacy Via Distributed Noise Generation
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
Their papers
- Federated learning and differential privacy for medical image analysis (2021) — 429 citations