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2021
Mark Non-attracting regions of local minima in deep and wide neural networks
Petzka, Henning ^LU and Sminchisescu, Cristian ^LU (2021) In Journal of Machine Learning Research 22. p.1-34
- Contribution to journal › Article
Mark Realeasy : real-time capable simulation to reality domain adaptation
Dürr, Alexander ^LU ; Neric, Liam ; Krueger, Volker ^LU and Topp, Elin Anna ^LU (2021) 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) p.2009-2016
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Application of Artificial Intelligence for the Optimization of Hydropower Energy Generation
Kumar, Krishna ^LU and Saini, R. P. (2021) In EAI Endorsed Transactions on Industrial Networks and Intelligent Systems 8(28). p.1-12
- Contribution to journal › Article
Mark Deep learning for inverse problems in quantum mechanics
Lantz, Victor ; Abiri, Najmeh ^LU ; Carlsson, Gillis ^LU and Pistol, Mats Erik ^LU (2021) In International Journal of Quantum Chemistry 121(9).
- Contribution to journal › Article
Mark 3D Human Pose and Shape Estimation Based on Parametric Model and Deep Learning
Li, Zhongguo ^LU (2021)
- Thesis › Doctoral thesis (compilation)
Mark Applications of Deep Learning in Medical Image Analysis : Grading of Prostate Cancer and Detection of Coronary Artery Disease
Arvidsson, Ida ^LU (2021)
- Thesis › Doctoral thesis (monograph)
Mark Accurate Indoor Positioning Based on Learned Absolute and Relative Models
Kjellson, Christoffer ; Larsson, Martin ^LU ; Astrom, Kalle ^LU and Oskarsson, Magnus ^LU (2021) 2021 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2021
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Simulation-based Inference : From Approximate Bayesian Computation and Particle Methods to Neural Density Estimation
Wiqvist, Samuel ^LU (2021) In Doctoral Theses in Mathematical Sciences 2021(09).
- Thesis › Doctoral thesis (compilation)
2020
Mark Automatic discovery of resource-restricted Convolutional Neural Network topologies for myoelectric pattern recognition
Olsson, Alexander E. ^LU ; Björkman, Anders ^LU and Antfolk, Christian ^LU (2020) In Computers in Biology and Medicine 120.
- Contribution to journal › Article
Mark Crystal centering using deep learning in X-ray crystallography
Schurmann, Jonathan ; Lindhe, Isaak ^LU ; Janneck, Jorn W. ^LU ; Lima, Gustavo ^LU and Matej, Zdenek ^LU (2020) 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019 p.978-983
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding

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