Lennart Ljung
Artificial Intelligence · 1995–2019
A researcher in the Science corpus: 8 papers; trusts 31 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it
- Control and Systems Engineering — 25 citations into it; #5,963 of 8,257 by trust here, #2,890 by citations
- Statistics and Probability — 21 citations into it
- Statistical Learning Theory — 17 citations into it
- Probabilistic & Bayesian Methods — 15 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Optimization & Training — 9 citations into it; #2,311 of 2,601 by trust here, #2,112 by citations
- Civil and Structural Engineering — 6 citations into it
Whom Lennart Ljung trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Grace Wahba
- Christopher K. I. Williams
- Robert Tibshirani
- Arnaud Doucet
- Pierre Del Moral
- Stephen A. Billings
- Juan Ramón Trapero
- Arthur P. Dempster
- G. Kimeldorf
- Neil J. Gordon
Who trusts Lennart Ljung overall
- Michel Fliess
- Mario E. Salgado
- Simo Särkkä
- Dong Hwa Kim
- Erin Grant
- Bjarke Felbo
- Simone Paoletti
- H. S. Ramírez
- A. Conley
- Devansh Arpit
Papers from Lennart Ljung's perspective
Ordered by how strongly the researchers Lennart Ljung trusts endorse each paper. Same corpus, a different order for every researcher.
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Spline Models for Observational Data
- Estimating the Dimension of a Model
- A new look at the statistical model identification
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Smoothing noisy data with spline functions
Their papers
- Nonlinear System Identification: A User-Oriented Road Map (2019) — 393 citations
- Kernel methods in system identification, machine learning and function estimation: A survey (2014) — 776 citations
- Identification of Hammerstein-Wiener models (2013) — 306 citations
- On the estimation of transfer functions, regularizations and Gaussian processes - Revisited (2012) — 464 citations
- Identification of piecewise affine systems via mixed-integer programming (2004) — 416 citations
- Technical Communique: Asymptotic variance expressions for closed-loop identification (2001) — 66 citations
- Control theory : multivariable and nonlinear methods (2000) — 394 citations
- Overtraining, regularization and searching for a minimum, with application to neural networks (1995)