Hachem Kadri

Artificial Intelligence · 2010–2015

A researcher in the Science corpus: 4 papers; trusts 42 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it; #27,814 of 35,345 by trust here, #30,347 by citations
• Statistical Learning Theory — 35 citations into it
• Computational Mechanics — 21 citations into it
• Statistics and Probability — 18 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it; #17,077 of 21,575 by trust here, #19,310 by citations
• Applied Mathematics — 11 citations into it
• Computational Theory and Mathematics — 10 citations into it

Whom Hachem Kadri trusts overall

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

1. Charles A. Micchelli
2. Francis R. Bach
3. Massimiliano Pontil
4. Andrea Caponnetto
5. Christopher K. I. Williams
6. Paul Tseng
7. Heng Lian
8. Bernhard Schölkopf
9. Theodoros Evgeniou
10. Corinna Cortes

Who trusts Hachem Kadri overall

1. Barnab'as P'oczos
2. Carlo Ciliberto
3. Zoltán Szabó
4. Céline Brouard
5. Philippe Preux
6. Alain Rakotomamonjy
7. Emmanuel Duflos
8. Lorenzo Rosasco
9. Bharath K. Sriperumbudur
10. Vikas Sindhwani

Papers from Hachem Kadri's perspective

Ordered by how strongly the researchers Hachem Kadri trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Operator-valued Kernels for Learning from Functional Response Data (2015) — 154 citations
• A Generalized Kernel Approach to Structured Output Learning (2012) — 38 citations
• Multiple Operator-valued Kernel Learning (2012) — 19 citations
• Nonlinear functional regression: a functional RKHS approach (2010) — 62 citations