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probabilistic numerics

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ordinary differential equation (5) bayesian inference (5) probabilistic numerical method (3) uncertainty quantification (3) gauss-markov process (2) differential equation (2) numerical integration (2) gaussian process (2) richardson extrapolation (1) computational uncertainty (1)

Papers

Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach AISTATS 2024 Probabilistic ODE solvers for integration error-aware numerical optimal control L4DC 2024 Fenrir: Physics-Enhanced Regression for Initial Value Problems ICML 2022 Pick-and-Mix Information Operators for Probabilistic ODE Solvers AISTATS 2022 Probabilistic ODE Solutions in Millions of Dimensions ICML 2022 A Probabilistic State Space Model for Joint Inference from Differential Equations and Data NeurIPS 2021 Bayesian Quadrature on Riemannian Data Manifolds ICML 2021 Black Box Probabilistic Numerics NeurIPS 2021 Probabilistic Numeric Convolutional Neural Networks ICLR 2021 Probabilistic ODE Solvers with Runge-Kutta Means NeurIPS 2014