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Papers matching “Gaussian approximation” 84

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On the near axis approximation for thermal self-focusing of intense Gaussian laser beams in a collisional plasma
2025 Physics of Plasmas article Physics and Astronomy Laser-Plasma Interactions and Diagnostics Open access

Klaus Bergmann

0

citations
Sequential Gaussian approximation for nonstationary time series in high dimensions
2023 Bernoulli article Mathematics Statistical Methods and Inference

Fabian Mies, Ansgar Steland

10

citations
Sequential Gaussian approximation for nonstationary time series in high dimensions
2022 RWTH Publications (RWTH Aachen) article Mathematics Statistical Methods and Inference Open access

Fabian Mies, Ansgar Steland

2

citations
An amended approximation of the non-Gaussian probability distribution function
2022 Mathematics and Mechanics of Solids article Engineering Elasticity and Material Modeling Open access

Ehsan Darabi, Markus Hillgärtner, Mikhail Itskov

5

citations
Variability in the Log Domain and Limitations to Its Approximation by the Normal Distribution
2020 CPT Pharmacometrics & Systems Pharmacology article Mathematics Statistical Methods in Clinical Trials Open access

Jeroen Elassaiss‐Schaap, Kevin L. W. Duisters

17

citations
Normal approximation for Gibbs processes via disagreement couplings
2025 Electronic Journal of Probability article Mathematics Stochastic processes and statistical mechanics Open access

Christian Hirsch, Moritz Otto, Anne Marie Svane

0

citations
Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format
2022 SIAM/ASA Journal on Uncertainty Quantification article Mathematics Tensor decomposition and applications Open access

Sergey Dolgov, Lars Grasedyck, Robert Scheichl

20

citations
Gaussian Process Regression for Maximum Entropy Distribution
2020 Journal of Computational Physics article Computer Science Gaussian Processes and Bayesian Inference Open access

Mohsen Sadr, Manuel Torrilhon, Hossein Gorji

14

citations
Simulation of melt film dynamics in laser fusion cutting using a boundary layer approximation
2021 International Journal of Heat and Mass Transfer article Engineering Laser Material Processing Techniques Open access

Ulrich Halm, Markus Nießen, Wolfgang Schulz

16

citations
Quantum-Assisted Multi-Output Gaussian Processes for Line Parameter Estimation in Power Systems
2026 RWTH Publications (RWTH Aachen) article Computer Science Quantum Computing Algorithms and Architecture Open access

Priyanka Arkalgud Ganeshamurthy, Kumar Ghosh, Corey O’Meara, G. Cortiana, Jan Schiefelbein-Lach, Antonello Monti, +1 more

0

citations
Quantum-Assisted Multi-Output Gaussian Processes for Line Parameter Estimation in Power Systems
2026 IEEE Access article Computer Science Quantum Computing Algorithms and Architecture Open access

Priyanka Arkalgud Ganeshamurthy, Kumar Ghosh, Corey O’Meara, G. Cortiana, Jan Schiefelbein-Lach, Antonello Monti, +1 more

0

citations
Multilevel representations of isotropic Gaussian random fields on the sphere
2022 IMA Journal of Numerical Analysis article Mathematics Mathematical Approximation and Integration

Markus Bachmayr, Ana Djurdjevac

5

citations
Gaussian Process Panel Modeling—Machine Learning Inspired Analysis of Longitudinal Panel Data
2020 Frontiers in Psychology article Computer Science Gaussian Processes and Bayesian Inference Open access

Julian David Karch, Andreas M. Brandmaier, Manuel C. Voelkle

19

citations
Euclid preparation. CII. Non-Gaussianity of two-point statistics likelihood: Parameter inference with a non-Gaussian likelihood in Fourier and configuration space
2026 Springer Link (Chiba Institute of Technology) article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access

Sylvain Gouyou Beauchamps, J. Bel, Philippe Baratta, C. Carbone, B Altieri, Stefano Andreon, +94 more

0

citations
Local dark matter density from Gaia DR3 K-dwarfs using Gaussian processes
2025 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Dark Matter and Cosmic Phenomena Open access

Laurin Söding, Ruben L Bartel, Philipp Mertsch

5

citations
Efficient Importance Sampling for the Left Tail of Positive Gaussian Quadratic Forms
2020 IEEE Wireless Communications Letters article Mathematics Markov Chains and Monte Carlo Methods Open access

Chaouki Ben Issaid, Mohamed‐Slim Alouini

3

citations
Adaptation Using Spatially Distributed Gaussian Processes
2025 Journal of the American Statistical Association article Computer Science Gaussian Processes and Bayesian Inference Open access

Botond Szabó, Amine Hadji, Aad van der Vaart

0

citations
Non-Gaussian hyperplane tessellations and robust one-bit compressed sensing
2021 Journal of the European Mathematical Society article Engineering Sparse and Compressive Sensing Techniques Open access

Sjoerd Dirksen, Shahar Mendelson

37

citations
Intelligent Tunnel Collapse Prediction Using Multi‐Modal Gaussian Cross‐Attention Fusion (MGCAF): Integration of TBM Parameters and Geological Radar Data
2026 Concurrency and Computation Practice and Experience article Engineering Tunneling and Rock Mechanics

Youliang Chen, Wencan Guan, Rafig Azzam, Suran Wang, Yungui Pan, Chao Yan

12

citations
Surrogate Modeling for Active Drag Reduction in Turbulent Boundary Layer Flows Using Multitask Gaussian Process Regression
2024 PAMM article Physics and Astronomy Model Reduction and Neural Networks Open access

Fabian Hübenthal, Matthias H. Meinke, Wolfgang Schröder

1

citations
An enhanced single Gaussian point continuum finite element formulation using automatic differentiation
2025 Finite Elements in Analysis and Design article Engineering Advanced Numerical Methods in Computational Mathematics Open access

Njomza Pacolli, Jannick Kehls, Bjorn Sauren, Sven Klinkel, Stefanie Reese, Hagen Holthusen

4

citations
Quantum State Preparation without Coherent Arithmetic
2026 Physical Review Letters article Computer Science Quantum Computing Algorithms and Architecture Open access

Sam McArdle, András Gilyén, Mario Berta

17

citations
Code Repository for the Paper "Characterizing Neural Manifolds' Properties and Curvatures using Normalizing Flows" (PRX Life, 2026)
2026 Zenodo (CERN European Organization for Nuclear Research) article Neuroscience Neural dynamics and brain function Open access

Peter Bouss, Sandra Nestler, Kirsten Fischer, Claudia Merger, Lars Schutzeichel, Simon Musall, +2 more

1

citations
Characterizing Neural Manifolds' Properties and Curvatures using Normalizing Flows
2026 PRX Life article Neuroscience Neural dynamics and brain function Open access

Peter Bouss, Sandra Nestler, Kirsten Fischer, Claudia Merger, Lars Schutzeichel, Simon Musall, +2 more

0

citations
Code Repository for the Paper "Characterizing Neural Manifolds' Properties and Curvatures using Normalizing Flows" (PRX Life, 2026)
2026 Zenodo (CERN European Organization for Nuclear Research) article Neuroscience Neural dynamics and brain function Open access

Peter Bouss, Sandra Nestler, Kirsten Fischer, Claudia Merger, Lars Schutzeichel, Simon Musall, +2 more

0

citations