Kjersti Aas
Finance · 2004–2019
A researcher in the Science corpus: 12 papers; trusts 93 researchers and is trusted by 61 researchers here, as inferred from the citation graph.
Subfields
- Finance — 102 citations into it; #673 of 10,518 by trust here, #704 by citations
- Artificial Intelligence — 69 citations into it; #21,833 of 35,345 by trust here, #19,873 by citations
- Statistics and Probability — 59 citations into it; #1,310 of 12,932 by trust here, #1,004 by citations
- Economics and Econometrics — 49 citations into it; #1,729 of 23,481 by trust here, #1,913 by citations
- Management Science and Operations Research — 22 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Global and Planetary Change — 12 citations into it; #1,157 of 10,225 by trust here, #3,840 by citations
- Signal Processing — 12 citations into it
Whom Kjersti Aas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tim Bedford
- Alexander J. McNeil
- Claudia Czado
- Eike C. Brechmann
- Robert F. Engle
- Dorota Kurowicka
- Roger M. Cooke
- Paul Embrechts
- Tim Bollerslev
- Q. Vuong
Who trusts Kjersti Aas overall
- Claudia Czado
- Eike C. Brechmann
- Aleksey Min
- Alexander Bauer
- Toshinao Yoshiba
- Lihua Xiong
- Andrew J. Patton
- M. Chris Jones
- Benedikt Gräler
- M. S. Smith
Papers from Kjersti Aas's perspective
Ordered by how strongly the researchers Kjersti Aas trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Risk Management: Correlation and Dependence in Risk Management: Properties and Pitfalls
- Learning Multiple Layers of Features from Tiny Images
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
Their papers
- Pair-copula constructions of multiple dependence (2009) — 2,141 citations
- The Generalized Hyperbolic Skew Student’s t-Distribution (2006) — 370 citations
- Truncated regular vines in high dimensions with application to financial data (2012) — 295 citations
- Models for construction of multivariate dependence – a comparison study (2009) — 284 citations
- Risk Estimation using the Multivariate Normal Inverse Gaussian Distribution (2006) — 56 citations
- Explaining individual predictions when features are dependent: More accurate approximations to Shapley values (2019) — 980 citations
- Deep generative models for reject inference in credit scoring (2019) — 57 citations
- Predicting mortgage default using convolutional neural networks (2018) — 155 citations
- Pair-Copula Constructions for Financial Applications: A Review (2016) — 83 citations
- Models for construction of multivariate dependence (2007) — 61 citations
- Integrated risk modelling (2004) — 76 citations
- Modelling the dependence structure of financial assets : A survey of four copulas (2004) — 80 citations