Marcus R. Makowski

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 74 citations into it; #31,594 of 35,345 by trust here, #14,438 by citations
• Privacy & Security — 19 citations into it
• Federated & Distributed Learning — 11 citations into it

Whom Marcus R. Makowski trusts overall

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

1. Joan Daemen
2. Arun Rajkumar
3. Jakub Konecný
4. Ehsan Hesamifard
5. Cynthia Dwork
6. Nicolas Papernot

Who trusts Marcus R. Makowski overall

1. Qinbin Li
2. Xuefei Yin
3. Jakob Mokander

Papers from Marcus R. Makowski's perspective

Ordered by how strongly the researchers Marcus R. Makowski 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: A large-scale hierarchical image database
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Explaining and Harnessing Adversarial Examples
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. Deep Learning with Differential Privacy
9. Long Short-Term Memory
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Secure, privacy-preserving and federated machine learning in medical imaging (2020) — 1,361 citations
• End-to-end privacy preserving deep learning on multi-institutional medical imaging (2021) — 478 citations