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(Master thesis / Masteroppgave, 2016)
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
In this paper we investigate a non-linear and non-local one dimensional transport equation under random perturbations on the real line. We first establish a local-in-time theory, i.e., existence, uniqueness and blow-up ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2022)
We generalise recent results of Afsar, Larsen, and Neshveyev for product systems over quasi-lattice orders by showing that the equilibrium states of quasi-free dynamics on the Nica–Toeplitz C∗-algebras of product systems ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2022)
The development of surrogate models to study uncertainties in hydrologic systems requires significant effort in the development of sampling strategies and forward model simulations. Furthermore, in applications where ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
Abstract It is well-known that the additive hazards model is collapsible, in the sense that when omitting one covariate from a model with two independent covariates, the marginal model is still an additive hazards model ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2022)
We propose a family of lagged random walk sampling methods in simple undirected graphs, where transition to the next state (i.e., node) depends on both the current and previous states—hence, lagged. The existing random ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2023)
Innovative ways of harnessing sustainable energy are needed to meet the world’s ever-increasing energy demands. Supercapacitors may contribute, as they can convert waste heat to electricity through cyclic charging and ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
Generative machine learning (ML) has been postulated to become a major driver in the computational design of antigen-specific monoclonal antibodies (mAb). However, efforts to confirm this hypothesis have been hindered by ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
Abstract We consider the problem of recommending relevant content to users of an internet platform in the form of lists of items, called slates. We introduce a variational Bayesian Recurrent Neural Net recommender system ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2021)
Deep Reinforcement Learning (DRL) has recently spread into a range of domains within physics and engineering, with multiple remarkable achievements. Still, much remains to be explored before the capabilities of these methods ...