Issue Date | Title | Author(s) |
2021 | Finding Influential Examples in Deep Learning Models | Brinkman, Adam; Larsson Hörkén, Johan |
2020 | Bayesian Reinforcement Learning on Semi–Markov Decision Processes | Hilding Södergren, Marcus; Vrede, Samuel |
2020 | Spherically symmetric self-gravitating elastic bodies: A numerical investigation | Liljenberg, Astrid |
2020 | Multivariate linear regression of LIBS spectra | Ekström, Krister |
2020 | Algorithms for Robust Path-Planning | Jonsson Damgaard, Thomas; Åkerlund, Jens |
2020 | Optimization of Train Schedules | Dahlén, Christoffer John; Mårtensson, Anton |
2020 | Stock Portfolio Optimisation | Peterson, Arvid |
2020 | Algorithms for Robust Path-Planning | Jonsson Damgaard, Thomas; Åkerlund, Jens |
2020 | Optimization of Cable Harness Routing | Karlsson, Tobias |
2020 | Evolutionary dynamics of spatial games | Ekesryd, Olle |
2020 | Where to stand when playing darts? Questions in Probability Theory inspired by dart throwing | Franzén, Björn |
2020 | Deep-learning-accelerated Bayesian inference for state-space models | Hölén Hannouch, Elias; Holmstedt, Oskar |
2020 | Adversarial Representation Learning for Synthetic Replacement of Sensitive Speech Data | Östberg, Adam; Ericsson, David |
2020 | Attention on the road! | Svenningsson, Peter |
2020 | Probabilistic deep learning with variational inference | Hegnar, Eva |
2020 | Computing Failure Probabilities for PDEs with Random Data | Eklund, Oskar |
2020 | Co-clustering of Tensor Data Using Sparse Tensor Factorisation | Tabakovic, Selma |
2020 | Deep learning for semantic segmentation of FIB-SEM volumetric image data | Lennerfors, Mikael; Johansson Visuri, William |
2020 | Training Multi-Tasking Neural Network using ADMM: Analysing Autoencoder-Based Semi-Supervised Learning | Håkansson, Henrik |
2020 | A Model for Object Recognition in Liver Resection Surgery | AL-MALEH, CHRISTIAN |