Emmanuel Duflos

Artificial Intelligence · 2006–2015

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it; #31,298 of 35,345 by trust here, #29,412 by citations
• Statistical Learning Theory — 17 citations into it
• Statistics and Probability — 17 citations into it
• Computational Mechanics — 10 citations into it
• Applied Mathematics — 6 citations into it
• Computational Theory and Mathematics — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Emmanuel Duflos trusts overall

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

1. Frédéric Ferraty
2. Heng Lian
3. Massimiliano Pontil
4. Christopher K. I. Williams
5. Charles A. Micchelli
6. Theodoros Evgeniou
7. Edward W. Packel
8. John Shawe-Taylor
9. Alex Smola
10. Bernhard Schölkopf

Who trusts Emmanuel Duflos overall

1. Hachem Kadri
2. Hossein Pirayesh
3. Barnab'as P'oczos
4. Harald Schafer

Papers from Emmanuel Duflos's perspective

Ordered by how strongly the researchers Emmanuel Duflos 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. The Elements of Statistical Learning
5. Gradient-based learning applied to document recognition
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Spline Models for Observational Data
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Operator-valued Kernels for Learning from Functional Response Data (2015) — 154 citations
• Nonlinear functional regression: a functional RKHS approach (2010) — 62 citations
• GPS/IMU data fusion using multisensor Kalman filtering: introduction of contextual aspects (2006) — 431 citations