Fabien Panloup
Optimization & Training · 2005–2017
A researcher in the Science corpus: 3 papers; trusts 33 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Optimization & Training — 16 citations into it
- Statistics and Probability — 13 citations into it
- Artificial Intelligence — 12 citations into it; #16,945 of 35,345 by trust here, #26,682 by citations
- Computational Mechanics — 12 citations into it; #4,498 of 10,001 by trust here, #6,877 by citations
- Computational Theory and Mathematics — 7 citations into it; #6,517 of 12,182 by trust here, #10,901 by citations
- Mathematical Optimization — 7 citations into it
- Numerical Analysis — 6 citations into it; #1,522 of 3,586 by trust here, #1,831 by citations
- Finance — 5 citations into it
Whom Fabien Panloup trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- Francis R. Bach
- Boris Polyak
- Sean P. Meyn
- Cédric Villani
- Vincent Lemaire
- Richard L. Tweedie
- Guanghui Lan
- Thomas G. Kurtz
- J. Berestycki
Who trusts Fabien Panloup overall
Papers from Fabien Panloup's perspective
Ordered by how strongly the researchers Fabien Panloup 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
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- A Stochastic Approximation Method
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- 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
- Optimal non-asymptotic bound of the Ruppert-Polyak averaging without strong convexity (2017) — 41 citations
- Stochastic Heavy ball (2016) — 117 citations
- Recursive computation of the invariant measure of a stochastic differential equation driven by a Lévy process (2005) — 50 citations