Stéphane Girard

Finance · 2002–2019

A researcher in the Science corpus: 22 papers; trusts 87 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Finance — 97 citations into it; #1,757 of 10,518 by trust here, #1,924 by citations
Statistics and Probability — 59 citations into it; #2,360 of 12,932 by trust here, #1,624 by citations
Economics and Econometrics — 46 citations into it; #19,977 of 23,481 by trust here, #22,128 by citations
Management Science and Operations Research — 39 citations into it
Global and Planetary Change — 34 citations into it; #1,670 of 10,225 by trust here, #5,068 by citations
Artificial Intelligence — 28 citations into it; #7,850 of 35,345 by trust here, #12,761 by citations
Computer Vision and Pattern Recognition — 17 citations into it; #8,808 of 21,575 by trust here, #15,162 by citations
Statistical Learning Theory — 12 citations into it

Whom Stéphane Girard trusts overall

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

Who trusts Stéphane Girard overall

Papers from Stéphane Girard's perspective

Ordered by how strongly the researchers Stéphane Girard 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)
ImageNet: A large-scale hierarchical image database
Long Short-Term Memory
Attention is All you Need (Neural Information Processing Systems)
ImageNet Large Scale Visual Recognition Challenge
Learning Multiple Layers of Features from Tiny Images
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

Estimating Local Intrinsic Dimensionality (2015) — 168 citations
A moving window approach for nonparametric estimation of the conditional tail index (2008) — 84 citations
Conditional extremes from heavy-tailed distributions: an application to the estimation of extreme rainfall return levels (2010) — 116 citations
Kernel estimators of extreme level curves (2011) — 136 citations
Functional kernel estimators of large conditional quantiles (2011) — 56 citations
Estimation of tail risk based on extreme expectiles (2016) — 159 citations
Estimation of the Weibull tail-coefficient with linear combination of upper order statistics (2008) — 57 citations
Bias-reduced estimators of the Weibull tail-coefficient (2008) — 65 citations
A Hill Type Estimator of the Weibull Tail-Coefficient (2004) — 74 citations
Extreme M-quantiles as risk measures: From $L^{1}$ to $L^{p}$ optimization (2019) — 56 citations
Symmetry and dependence properties within a semiparametric family of bivariate copulas (2002) — 106 citations
On kernel smoothing for extremal quantile regression (2012) — 149 citations
Estimating Extreme Quantiles of Weibull Tail Distributions (2005) — 58 citations
Sub‐Weibull distributions: Generalizing sub‐Gaussian and sub‐Exponential properties to heavier tailed distributions (2019) — 118 citations
Non‐parametric Estimation of Extreme Risk Measures from Conditional Heavy‐tailed Distributions (2014) — 58 citations
Evaluation of classical spatial-analysis schemes of extreme rainfall (2012) — 48 citations
Weibull tail-distributions revisited: a new look at some tail estimators (2011) — 48 citations
Comparison of Weibull tail-coefficient estimators (2011) — 55 citations
Robust supervised classification with mixture models: Learning from data with uncertain labels (2009) — 142 citations
A new extension of bivariate FGM copulas (2009) — 73 citations