Recent Submissions

  • Adaptive Sampling of River Plume Fronts: Integrating Statistical Modeling and Autonomous Path Planning for Enhanced Oceanographic Exploration 

    Ge, Yaolin (Doctoral theses at NTNU;2024:180, Doctoral thesis, 2024)
    The ocean remains largely unexplored and presents a great challenge for scientific re­search. Ocean fronts have shown importance for understanding both biological and physical oceanographic phenomena, with river plume ...
  • Neural networks for genomic prediction 

    Singsaas, Øyvind Hansen (Master thesis, 2024)
    Denne masteroppgaven utforsker bruken av nevrale nettverk for genomisk prediksjon på enkeltnukleotidpolymorfismer (SNP-er) fra en vill populasjon av gråspurv. Til tross for suksessen til nevrale nettverk, har de ennå ikke ...
  • Places of Learning: A Discussion of Radcliffe’s Framework for Learning Spaces in Light of Merleau-Ponty’s Phenomenology 

    De Caro-Barek, Veruska; Lysne, Dag Atle; Støckert, Robin; Solbjørg, Ole Kristen; Røren, Kari Anne Flem (Journal article; Peer reviewed, 2024)
    This paper presents a discussion of Radcliffe’s pedagogy-space-technology (PST) framework for the development, implementation, and evaluation of learning spaces in light of Merleau-Ponty’s Phenomenology of Perception. The ...
  • Multivariate Hermite interpolation of manifold-valued data 

    Zimmermann, Ralf; Bergmann, Ronny (Journal article, 2024)
    In this paper, we propose two methods for multivariate Hermite interpolation of manifold-valued functions. On the one hand, we approach the problem via computing suitable weighted Riemannian barycenters. To satisfy the ...
  • Formality and strong Massey vanishing for real projective groups 

    Quick, Gereon (Peer reviewed; Journal article, 2023)
    This report presents a general panorama of recent progress in the arithmetic-geometry theory of Galois and homotopy groups and its ramifications. While still relying on Grothendieck’s original pillars [1], the present ...
  • Simplical methods for unsupervised data analysis 

    Vaupel, Melvin Erasmus (Doctoral theses at NTNU;2024:168, Doctoral thesis, 2024)
  • Active Learning for Data Streams 

    Cacciarelli, Davide (Doctoral theses at NTNU;2024:186, Doctoral thesis, 2024)
    As businesses increasingly rely on machine learning models to make informed decisions, the ability to develop accurate and reliable models is critical. However, in many industrial contexts, data annotation represents a ...
  • Object tracking and classification using distributed acoustic sensing 

    Fredriksen, Simon Leander Berg (Master thesis, 2024)
    Multi-objekt målfølging (MOT) omfatter et matematisk rammeverk laget for å estimere kinematiske egenskaper av objekter som beveger seg i henhold til en dynamisk modell i et begrenset overvåket romlig område. Bayesiansk ...
  • Seismic AVO Inversion with Fast Approximate Markov Chain Monte Carlo with Application to the Alvheim Field 

    Auestad, Karen Stormark (Master thesis, 2024)
    Inverse problemer kan løses i et Bayesiansk rammeverk. Da kombineres a priori kunnskap om modellparametre med en rimelighetsmodell for observerte data, for å konstruere en posterior-fordeling for modellparameterne. Markov ...
  • Deep neural networks on diffeomorphism groups for optimal shape reparametrization 

    Celledoni, Elena; Glöckner, Helge; Riseth, Jørgen Nilsen; Schmeding, Alexander (Journal article; Peer reviewed, 2023)
    One of the fundamental problems in shape analysis is to align curves or surfaces before computing geodesic distances between their shapes. Finding the optimal reparametrization realizing this alignment is a computationally ...
  • Sampling design methods for making improved lake management decisions 

    Koski, Vilja; Eidsvik, Jo (Journal article; Peer reviewed, 2024)
    The ecological status of lakes is important for understanding an ecosystem's biodiversity as well as for service water quality and policies related to land use and agricultural run-off. If the status is weak, then decisions ...
  • Zeroing the Output of Nonlinear Systems Without Relative Degree 

    Gray, W. Steven; Ebrahimi-Fard, Kurusch; Schmeding, Alexander (Chapter, 2023)
    The goal of this paper is to establish some facts concerning the problem of zeroing the output of an input-output system that does not have relative degree. The approach taken is to work with systems that have Chen-Fliess ...
  • New development of sprayed concrete with improved waterproofing, durability and sustainability performance 

    Holter, Karl Gunnar; Martius-Hammer, Tor Arne; Trussell, Nicholas Henry (Chapter, 2023)
    Sprayed concrete in combination with rock bolts is successfully being used for permanent rock support in tunnels. The main shortcoming is that sprayed concrete alone is unable to function as the permanent waterproofing ...
  • Geometric pushforward in Hodge filtered complex cobordism and secondary invariants 

    Haus, Knut Bjarte; Quick, Gereon (Journal article; Peer reviewed, 2024)
    We construct a functorial pushforward homomorphism in geometric Hodge filtered complex cobordism along proper holomorphic maps between arbitrary complex manifolds. This significantly improves previous results on such ...
  • The Difference of Convex Algorithm on Hadamard Manifolds 

    Bergmann, Ronny; Ferreira, Orizon P.; M. Santos, Elianderson; Souza, João Carlos O. (Preprint, 2024)
    In this paper, we propose a Riemannian version of the difference of convex algorithm (DCA) to solve a minimization problem involving the difference of convex (DC) function. The equivalence between the classical and simplified ...
  • A topological splitting of the space of meromorphic germs in several variables and continuous evaluators 

    Dahmen, Rafael; Paycha, Sylvie; Schmeding, Alexander (Journal article, 2024)
    We prove a topological decomposition of the space of meromorphic germs at zero in several variables with prescribed linear poles as a sum of spaces of holomorphic and polar germs. Evaluating the resulting holomorphic ...
  • Invertible objects in Franke's comodule categories. 

    Heard, Drew Kenneth (Peer reviewed; Journal article, 2024)
  • Decompositions of nonlinear input–output systems to zero the output 

    Gray, W. Steven; Ebrahimi-Fard, Kurusch; Schmeding, Alexander (Journal article; Peer reviewed, 2024)
    Consider an input–output system where the output is the tracking error given some desired reference signal. It is natural to consider under what conditions the problem has an exact solution, that is, the tracking error is ...
  • A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels 

    Norberg, Anna; Abrego, Nerea; Blanchet, F. Guillaume; Adler, Frederick R.; Anderson, Barbara J.; Anttila, Jani; Araújo, Miguel B.; Dallas, Tad; Dunson, David; Elith, Jane; Foster, Scott D.; Fox, Richard; Franklin, Janet; Godsoe, William; Guisan, Antoine; OHara, Robert Brian; Hill, Nicole A.; Holt, Robert D.; Hui, Francis K.C.; Husby, Magne; Kålås, John Atle; Lehikoinen, Aleksi; Luoto, Miska; Mod, Heidi K.; Newell, Graeme; Renner, Ian; Roslin, Tomas; Soininen, Janne; Thuiller, Wilfried; Vanhatalo, Jarno; Warton, David; White, Matt; Zimmermann, Niklaus E; Gravel, Dominique; Ovaskainen, Otso (Journal article; Peer reviewed, 2019)
    A large array of species distribution model (SDM) approaches has been developed for explaining and predicting the occurrences of individual species or species assemblages. Given the wealth of existing models, it is unclear ...
  • Learning Hamiltonian Systems with Mono-Implicit Runge-Kutta Methods 

    Myhr, Håkon Noren (Journal article, 2023)
    Numerical integrators could be used to form interpolation conditions when training neural networks to approximate the vector field of an ordinary differential equation (ODE) from data. When numerical one-step schemes such ...

View more