Now showing items 61-80 of 328

    • Computing critical points for invariant algebraic systems 

      Faugère, Jean-Charles; Labahn, George; Safey El Din, Mohab; Schost, Éric; Vu, Thi Xuan (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-10-24)
    • Shellability and homology of q-complexes and q-matroids 

      Ghorpade, Sudhir R.; Pratihar, Rakhi; Randrianarisoa, Tovohery H. (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-07-09)
      We consider a q-analogue of abstract simplicial complexes, called q-complexes, and discuss the notion of shellability for such complexes. It is shown that q-complexes formed by independent subspaces of a q-matroid are shellable. Further, we explicitly determine the homology of q-complexes corresponding to uniform q-matroids. We also outline some partial results concerning the determination of homology ...
    • Killing tensors in Koutras-McIntosh spacetimes 

      Kruglikov, Boris; Steneker, Wijnand Sebastiaan (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-11-03)
      The Koutras–McIntosh family of metrics include conformally flat pp-waves and the Wils metric. It appeared in a paper of 1996 by Koutras–McIntosh as an example of a pure radiation spacetime without scalar curvature invariants or infinitesimal symmetries. Here we demonstrate that these metrics have no 'hidden symmetries', by which we mean Killing tensors of low degrees. For the particular case of Wils ...
    • Symmetry Reduction in AM/GM-Based Optimization 

      Verdure, Hugues; Moustrou, Philippe; Naumann, Helen; Riener, Cordian; Theobald, Thorsten (Journal article; Tidsskriftartikkel; Peer reviewed, 2022)
      The arithmetic mean/geometric mean inequality (AM/GM inequality) facilitates classes of nonnegativity certificates and of relaxation techniques for polynomials and, more generally, for exponential sums. Here, we present a first systematic study of the AM/GM-based techniques in the presence of symmetries under the linear action of a finite group. We prove a symmetry-adapted representation theorem and ...
    • Representability of the local motivic Brouwer degree 

      Quick, Gereon; Strand, Therese; Wilson, Glen Matthew (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-02-24)
      We study which quadratic forms are representable as the local degree of a map f:An→An with an isolated zero at 0 , following the work of Kass and Wickelgren who established the connection to the quadratic form of Eisenbud, Khimshiashvili, and Levine. Our main observation is that over some base fields k , not all quadratic forms are representable as a local degree. Empirically the local degree ...
    • Kausale design – Et gjennombrudd i samfunnsfagene eller keiserens nye klær? 

      Rypdal, Kristoffer (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-02-03)
      Statistiske metoder som regresjonsanalyse og kausale design basert på naturlige eksperi-menter har etter hvert blitt hyllevare innen de fleste fag som behandler store datamengder,ikke minst innen epidemiologi, meteorologi og klimavitenskap.1 Et eksempel er prinsipalkomponentanalyse (PCA), som brukes til å finne karakteristiske mønstre i geofysiske felt.Mønstrene, eller prinsipalkomponentene, ...
    • Simplifying Clustering with Graph Neural Networks 

      Bianchi, Filippo Maria (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-01-23)
      The objective functions used in spectral clustering are generally composed of two terms: i) a term that minimizes the local quadratic variation of the cluster assignments on the graph and; ii) a term that balances the clustering partition and helps avoiding degenerate solutions. This paper shows that a graph neural network, equipped with suitable message passing layers, can generate good cluster ...
    • The global atmospheric energy transport analysed by a wavelength-based scale separation 

      Stoll, Johannes Patrick; Grand Graversen, Rune; Messori, Gabriele (Journal article; Tidsskriftartikkel; Peer reviewed, 2022)
      The global atmospheric circulation is fundamental for the local weather and climate by redistributing energy and moisture. To the present day, there is a knowledge gap at which spatial scales the energy and its components are transported. Therefore, we separate the meridional atmospheric energy transport in the ERA5 reanalysis by the spatial scales, the quasi-stationary and transient flow patterns, ...
    • A global climatology of polar lows investigated for local differences and wind-shear environments 

      Stoll, Johannes Patrick (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-04-11)
      Polar lows are intense mesoscale cyclones developing in marine polar air masses. This study presents a new global climatology of polar lows based on the ERA5 reanalysis for the years 1979–2020. Criteria for the detection of polar lows are derived based on a comparison of five polarlow archives with cyclones derived by a mesoscale tracking algorithm. The characteristics associated with polar lows are ...
    • Hyperbolic cone metrics and billiards 

      Erlandsson, Viveka; Leininger, Christopher J.; Sadanand, Chandrika (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-08-31)
      A negatively curved hyperbolic cone metric is called rigid if it is determined (up to isotopy) by the support of its Liouville current, and flexible otherwise. We provide a complete characterization of rigidity and flexibility, prove that rigidity is a generic property, and parameterize the associated deformation space for any flexible metric. As an application, we parameterize the space of ...
    • Almost every path structure is not variational 

      Kruglikov, Boris; Matveev, Vladimir S. (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-10-15)
      Given a smooth family of unparameterized curves such that through every point in every direction there passes exactly one curve, does there exist a Lagrangian with extremals being precisely this family? It is known that in dimension 2 the answer is positive. In dimension 3, it follows from the work of Douglas that the answer is, in general, negative. We generalise this result to all higher dimensions ...
    • Lattice conditional independence models and Hibi ideals 

      Caines, Peter; Mohammadi, Fatemeh; Sáenz-de-Cabezón, Eduardo; Wynn, Henry (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-06-10)
      Lattice conditional independence models [Andersson and Perlman, Lattice models for conditional independence in a multivariate normal distribution, Ann. Statist. 21 (1993), 1318–1358] are a class of models developed first for the Gaussian case in which a distributive lattice classifies all the conditional independence statements. The main result is that these models can equivalently be described via ...
    • Seasonality, density dependence, and spatial population synchrony 

      Antunes Lopes Da Silva Nicolau, Pedro Guilherme; Ims, Rolf Anker; Sørbye, Sigrunn Holbek; Yoccoz, Nigel (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-12-15)
      Studies of spatial population synchrony constitute a central approach for understanding the drivers of ecological dynamics. Recently, identifying the ecological impacts of climate change has emerged as a new important focus in population synchrony studies. However, while it is well known that climatic seasonality and sequential density dependence influences local population dynamics, the role of ...
    • Differential invariants of curves in G2 flag varieties 

      Kruglikov, Boris; Llabrés, Andreu (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-05-10)
      We compute the algebra of differential invariants of unparametrized curves in the homogeneous G<sub>2</sub> flag varieties, namely in G<sub>2</sub>/P. This gives a solution to the equivalence problem for such curves. We consider the cases of integral and generic curves and relate the equivalence problems for all three choices of the parabolic subgroup P.
    • Power Flow Balancing With Decentralized Graph Neural Networks 

      Hansen, Jonas Berg; Anfinsen, Stian Normann; Bianchi, Filippo Maria (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-08-01)
      We propose an end-to-end framework based on a Graph Neural Network (GNN) to balance the power flows in energy grids. The balancing is framed as a supervised vertex regression task, where the GNN is trained to predict the current and power injections at each grid branch that yield a power flow balance. By representing the power grid as a line graph with branches as vertices, we can train a GNN that ...
    • Understanding Pooling in Graph Neural Networks 

      Grattarola, Daniele; Zambon, Daniele; Bianchi, Filippo Maria; Alippi, Cesare (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-07-21)
      Many recent works in the field of graph machine learning have introduced pooling operators to reduce the size of graphs. In this article, we present an operational framework to unify this vast and diverse literature by describing pooling operators as the combination of three functions: selection, reduction, and connection (SRC). We then introduce a taxonomy of pooling operators, based on some of ...
    • Explainability in subgraphs-enhanced Graph Neural Networks 

      Guerra, Michele; Bianchi, Filippo Maria; Scardapane, Simone; Spinelli, Indro (Journal article; Tidsskriftartikkel, 2023)
      Recently, subgraphs-enhanced Graph Neural Networks (SGNNs) have been introduced to enhance the expressive power of Graph Neural Networks (GNNs), which was proved to be not higher than the 1-dimensional Weisfeiler-Leman isomorphism test. The new paradigm suggests using subgraphs extracted from the input graph to improve the model’s expressiveness, but the additional complexity exacerbates an ...
    • Comprehensive uncertainty estimation of the timing of Greenland warmings in the Greenland ice core records 

      Myrvoll-Nilsen, Eirik; Riechers, Keno; Rypdal, Martin Wibe; Boers, Niklas (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-06-20)
      Paleoclimate proxy records have non-negligible uncertainties that arise from both the proxy measurement and the dating processes. Knowledge of the dating uncertainties is important for a rigorous propagation to further analyses, for example, for identification and dating of stadial– interstadial transitions in Greenland ice core records during glacial intervals, for comparing the variability in ...
    • Weight spectra of Gabidulin rank-metric codes and Betti numbers 

      Johnsen, Trygve; Pratihar, Rakhi; Verdure, Hugues (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-07-07)
      The Helmholtz equation has been used for modeling the sound pressure field under a harmonic load. Computing harmonic sound pressure fields by means of solving Helmholtz equation can quickly become unfeasible if one wants to study many different geometries for ranges of frequencies. We propose a machine learning approach, namely a feedforward dense neural network, for computing the average sound ...
    • Kinetic energy-free Hartree–Fock equations: an integral formulation 

      Jensen, Stig Rune; Durdek, Antoine Pacifique Romain; Bjørgve, Magnar; Wind, Peter; Flå, Tor; Frediani, Luca (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-07-18)
      We have implemented a self-consistent feld solver for Hartree–Fock calculations, by making use of Multiwavelets and Multiresolution Analysis. We show how such a solver is inherently a preconditioned steepest descent method and therefore a good starting point for rapid convergence. A distinctive feature of our implementation is the absence of any reference to the kinetic energy operator. This is ...