Marc Tommasi
Artificial Intelligence · 2016–2019
A researcher in the Science corpus: 4 papers; trusts 63 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 88 citations into it; #15,124 of 35,345 by trust here, #12,761 by citations
- Computer Networks and Communications — 41 citations into it
- Optimization & Training — 27 citations into it
- Computational Mechanics — 23 citations into it
- Privacy & Security — 16 citations into it; #552 of 709 by trust here, #537 by citations
- Signal Processing — 13 citations into it
- Federated & Distributed Learning — 12 citations into it; #127 of 319 by trust here, #168 by citations
- Mathematical Optimization — 11 citations into it
Whom Marc Tommasi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Dwork
- Andreas Maurer
- Aurélien Bellet
- Jerome H. Friedman
- Angelia Nedić
- Stephen J. Wright
- John C. Duchi
- H. Brendan McMahan
- Theodoros Evgeniou
- Ermin Wei
Who trusts Marc Tommasi overall
Papers from Marc Tommasi's perspective
Ordered by how strongly the researchers Marc Tommasi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Decentralized Collaborative Learning of Personalized Models over Networks (2016) — 252 citations
- Personalized and Private Peer-to-Peer Machine Learning (2017) — 172 citations
- Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion? (2019) — 84 citations
- Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs (2019) — 90 citations