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检索条件"机构=Scientific Computing and Numerical Analysis"
121 条 记 录,以下是1-10 订阅
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Exploring biologically inspired mechanisms of adversarial robustness
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Neural computing and Applications 2025年 1-12页
作者: Holzhausen, Konstantin Merlid, Mia Torvik, Håkon Olav Malthe-Sørenssen, Anders Lepperød, Mikkel Elle Department of Physics University of Oslo Sem Sælands vei 24 Fysikkbygningen Oslo0371 Norway Department of Numerical Analysis and Scientific Computing Simula Research Laboratory Kristian Augusts gate 23 Oslo0164 Norway
Backpropagation-optimized artificial neural networks, while precise, lack robustness, leading to unforeseen behaviors that affect their safety. Biological neural systems do solve some of these issues already. Unlike a... 详细信息
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Modeling stochastic eye tracking data: A comparison of quantum generative adversarial networks and Markov models
Modeling stochastic eye tracking data: A comparison of quant...
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2024 Genetic and Evolutionary Computation Conference Companion, GECCO 2024 Companion
作者: Bhandari, Shailendra Lencastre, Pedro Lind, Pedro Department of Computer Science OsloMet - Oslo Metropolitan University OsloN-0130 Norway Simula Research Laboratory Numerical Analysis and Scientific Computing Oslo0164 Norway
We explore the use of quantum generative adversarial networks QGANs for modeling eye movement velocity data. We assess whether the advanced computational capabilities of QGANs can enhance the modeling of complex stoch... 详细信息
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Correction: Exploring biologically inspired mechanisms of adversarial robustness(Neural computing and Applications, 10.1007/s00521-025-11019-6)
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Neural computing and Applications 2025年 1-2页
作者: Holzhausen, Konstantin Merlid, Mia Torvik, Håkon Olav Malthe-Sørenssen, Anders Lepperød, Mikkel Elle Department of Physics University of Oslo Sem Sælands vei 24 Fysikkbygningen Oslo0371 Norway Department of Numerical Analysis and Scientific Computing Simula Research Laboratory Kristian Augusts gate 23 Oslo0164 Norway
In this article, panel (b) of Fig. 6 was inadvertently printed in black and white instead of colour;the figure should have appeared as shown below. (Figure presented.) Norm of the Jacobian of latent activations h^ (up...
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Learning Place Cell Representations and Context-Dependent Remapping  38
Learning Place Cell Representations and Context-Dependent Re...
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Pettersen, Markus Rogge, Frederik Lepperød, Mikkel Elle Department of Numerical Analysis and Scientific Computing Simula Research Laboratory Kristian Augusts Gate 23 Oslo Norway Department of Biosciences University of Oslo Blinderveien 31 Oslo Norway
Hippocampal place cells are known for their spatially selective firing patterns, which has led to the suggestion that they encode an animal's location. However, place cells also respond to contextual cues, such as...
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SCALABLE APPROXIMATION AND SOLVERS FOR IONIC ELECTRODIFFUSION IN CELLULAR GEOMETRIES
arXiv
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arXiv 2024年
作者: Benedusi, Pietro Ellingsrud, Ada J. Herlyng, Halvor Rognes, Marie E. Department for Numerical Analysis and Scientific Computing Simula Research Laboratory Oslo Norway
The activity and dynamics of excitable cells are fundamentally regulated and moderated by extracellular and intracellular ion concentrations and their electric potentials. The increasing availability of dense reconstr... 详细信息
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A SPLITTING, DISCONTINUOUS GALERKIN SOLVER FOR THE CELL-BY-CELL ELECTRONEUTRAL NERNST-PLANCK FRAMEWORK
arXiv
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arXiv 2024年
作者: Ellingsrud, Ada J. Kuchta, Miroslav Department for Numerical Analysis and Scientific Computing Simula Research Laboratory Oslo Norway
Mathematical models for excitable tissue with explicit representation of individual cells are highly detailed and can, unlike classical homogenized models, represent complex cellular geometries and local membrane vari... 详细信息
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Stability of step size control based on a posteriori error estimates
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Computational Science and Engineering 2024年 第1期1卷 1-23页
作者: Ranocha, Hendrik Giesselmann, Jan Institute of Mathematics Johannes Gutenberg University Mainz Mainz Germany Numerical Analysis and Scientific Computing Technical University of Darmstadt Darmstadt Germany
A posteriori error estimates based on residuals can be used for reliable error control of numerical methods. Here, we consider them in the context of ordinary differential equations and Runge-Kutta methods. In particu...
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THE MODELLING ERROR IN MULTI-DIMENSIONAL TIME-DEPENDENT SOLUTE TRANSPORT MODELS
arXiv
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arXiv 2023年
作者: Masri, Rami Zeinhofer, Marius Kuchta, Miroslav Rognes, Marie E. Department of Numerical Analysis and Scientific Computing Simula Research Laboratory Norway
Starting from full-dimensional models of solute transport, we derive and analyze multi-dimensional models of time-dependent convection, diffusion, and exchange in and around pulsating vascular and perivascular network... 详细信息
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Regularity for Diffusion Equations with Non-smooth Data
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Results in Mathematics 2023年 第4期78卷 1-22页
作者: Dondl, Patrick Zeinhofer, Marius Department of Applied Mathematics University of Freiburg Freiburg im Breisgau Germany Department of Numerical Analysis and Scientific Computing Simula Research Laboratory Oslo Norway
We prove an $$L^p(I,C^\alpha (\Omega ))$$ regularity result for a diffusion equation with mixed boundary conditions, $$L^\infty $$ coefficients and an $$L^{ q }$$ initial condition. We provide explicit control of the ...
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From low-rank retractions to dynamical low-rank approximation and back
arXiv
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arXiv 2023年
作者: Séguin, Axel Ceruti, Gianluca Kressner, Daniel Institute of Mathematics LausanneCH-1015 Switzerland University of Innsbruck Numerical Analysis and Scientific Computing Innsbruck Austria
In algorithms for solving optimization problems constrained to a smooth manifold, retractions are a well-established tool to ensure that the iterates stay on the manifold. More recently, it has been demonstrated that ... 详细信息
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