Marco Sciandrone
Artificial Intelligence · 2000–2018
A researcher in the Science corpus: 2 papers; trusts 34 researchers and is trusted by 34 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 22 citations into it; #26,111 of 35,345 by trust here, #34,213 by citations
- Computer Vision and Pattern Recognition — 14 citations into it; #16,020 of 21,575 by trust here, #21,103 by citations
- Optimization & Training — 13 citations into it
- Statistical Learning Theory — 8 citations into it
- Computational Mechanics — 6 citations into it
Whom Marco Sciandrone trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thorsten Joachims
- S. Sathiya Keerthi
- Vojtech Franc
- Yuhai Wu
- Chih-Jen Lin
- Radford M. Neal
- Christopher K. I. Williams
- Olivier Chapelle
- Rong-En Fan
- Roger Fletcher
Who trusts Marco Sciandrone overall
- Laura Palagi
- Haesun Park
- Yangyang Xu
- Paul Tseng
- Hyunsoo Kim
- Jingu Kim
- Wotao Yin
- Zaiwen Wen
- Meng Sun
- Ozlem Aslan
Papers from Marco Sciandrone's perspective
Ordered by how strongly the researchers Marco Sciandrone 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- A training algorithm for optimal margin classifiers
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Statistical Learning Theory
Their papers
- On the convergence of the block nonlinear Gauss-Seidel method under convex constraints (2000) — 748 citations
- Nonlinear optimization and support vector machines (2018) — 48 citations