Luigi Gresele
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 5 papers; trusts 95 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 150 citations into it; #30,965 of 35,345 by trust here, #22,463 by citations
- Computer Vision and Pattern Recognition — 89 citations into it
- Representation & Self-Supervised Learning — 65 citations into it
- Probabilistic & Bayesian Methods — 38 citations into it
- Signal Processing — 34 citations into it
- Generative Models — 28 citations into it
- Optimization & Training — 26 citations into it
- Statistics and Probability — 26 citations into it; #11,635 of 12,932 by trust here, #6,552 by citations
Whom Luigi Gresele trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Aapo Hyvärinen
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Kaiming He
- Yann LeCun
- Alex Krizhevsky
- Radford M. Neal
- Bernhard Schölkopf
- Michael I. Jordan
Who trusts Luigi Gresele overall
Papers from Luigi Gresele's perspective
Ordered by how strongly the researchers Luigi Gresele trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- The Incomplete Rosetta Stone problem: Identifiability results for Multi-view Nonlinear ICA (2019) — 118 citations
- Simpson's Paradox in COVID-19 Case Fatality Rates: A Mediation Analysis of Age-Related Causal Effects (2020) — 39 citations
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style (2021) — 395 citations
- Relative gradient optimization of the Jacobian term in unsupervised deep learning (2020) — 24 citations
- Learning explanations that are hard to vary (2020) — 229 citations