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| Stationary Velocity Fields on Matrix Groups for Deformable Image Registration | Oct 14, 2024 | Image RegistrationNumerical Integration | —Unverified | 0 | 0 |
| Steerable Principal Components for Space-Frequency Localized Images | Aug 9, 2016 | Numerical Integration | —Unverified | 0 | 0 |
| Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond | Jun 19, 2019 | Numerical Integration | —Unverified | 0 | 0 |
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| Symplectic Gaussian Process Regression of Hamiltonian Flow Maps | Sep 11, 2020 | Numerical Integrationregression | —Unverified | 0 | 0 |
| Targeting Bayes factors with direct-path non-equilibrium thermodynamic integration | Mar 21, 2017 | Numerical Integration | —Unverified | 0 | 0 |
| Temporal Subsampling Diminishes Small Spatial Scales in Recurrent Neural Network Emulators of Geophysical Turbulence | Apr 28, 2023 | Numerical Integration | —Unverified | 0 | 0 |
| A Renormalization Group Approach to Connect Discrete- and Continuous-Time Descriptions of Gaussian Processes | Jan 16, 2021 | Gaussian ProcessesNumerical Integration | —Unverified | 0 | 0 |
| The mixed deep energy method for resolving concentration features in finite strain hyperelasticity | Apr 15, 2021 | Numerical Integration | —Unverified | 0 | 0 |
| Time-Reversible Bridges of Data with Machine Learning | Dec 18, 2024 | Numerical Integration | —Unverified | 0 | 0 |
| Time-vectorized numerical integration for systems of ODEs | Oct 12, 2023 | Numerical Integration | —Unverified | 0 | 0 |
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| Understanding step selection analysis through numerical integration | Aug 30, 2023 | Numerical Integrationparameter estimation | —Unverified | 0 | 0 |
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| Why Local Search Excels in Expression Simplification | Sep 18, 2014 | Numerical Integration | —Unverified | 0 | 0 |
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| A Bulirsch-Stoer algorithm using Gaussian processes | May 23, 2019 | Gaussian ProcessesGPR | —Unverified | 0 | 0 |
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| A Closed-form Expression for the Gaussian Noise Model in the Presence of Raman Amplification | Apr 24, 2023 | FormNumerical Integration | —Unverified | 0 | 0 |
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| Active Learning of Model Evidence Using Bayesian Quadrature | Dec 1, 2012 | Active LearningAstronomy | —Unverified | 0 | 0 |
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| All-Action Policy Gradient Methods: A Numerical Integration Approach | Oct 21, 2019 | Allcontinuous-control | —Unverified | 0 | 0 |
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| A monotone piecewise constant control integration approach for the two-factor uncertain volatility model | Feb 9, 2024 | Numerical Integration | —Unverified | 0 | 0 |
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| An Efficient Approach to Regression Problems with Tensor Neural Networks | Jun 14, 2024 | Numerical Integrationregression | —Unverified | 0 | 0 |
| An Equivalent Circuit Approach to Distributed Optimization | May 24, 2023 | Distributed OptimizationNumerical Integration | —Unverified | 0 | 0 |
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| A phenomenological spatial model for macro-ecological patterns in species-rich ecosystems | Sep 12, 2016 | Numerical Integration | —Unverified | 0 | 0 |
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| Artificial Intelligence for Direct Prediction of Molecular Dynamics Across Chemical Space | May 22, 2025 | Numerical Integration | —Unverified | 0 | 0 |
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| Revisiting the Effects of Stochasticity for Hamiltonian Samplers | Jun 30, 2021 | Numerical Integration | —Unverified | 0 | 0 |
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| Can neural networks do arithmetic? A survey on the elementary numerical skills of state-of-the-art deep learning models | Mar 14, 2023 | Automated Theorem ProvingDeep Learning | —Unverified | 0 | 0 |