rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations | Paper Citation Record

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations , " * write output.state after.block = add.period write newline

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations write newline

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Numerical Solution of Ordinary Differential Equations

Reference 3

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations The D eep M ind JAX E cosystem

Reference 4

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This paper cites Gaussian processes for Bayesian estimation in ordinary Differential Equations.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Gaussian processes for Bayesian estimation in ordinary Differential Equations

Reference 5

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This paper cites A Comparison of Discrete Linear Filtering Algorithms.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations A Comparison of Discrete Linear Filtering Algorithms

Reference 6

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This paper cites Efficient and Modular Implicit Differentiation.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Efficient and Modular Implicit Differentiation

Reference 7

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations deBInfer: Bayesian inference for dynamical models of biological systems in R

Reference 8

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This paper cites Calibrated Adaptive Probabilistic ODE Solvers.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Calibrated Adaptive Probabilistic ODE Solvers

Reference 9

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This paper cites Pick-and-Mix Information Operators for Probabilistic ODE Solvers.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Pick-and-Mix Information Operators for Probabilistic ODE Solvers

Reference 10

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This paper cites JAX : composable transformations of P ython+ N um P y programs.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations JAX : composable transformations of P ython+ N um P y programs

Reference 11

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This paper cites Numerical Methods for Ordinary Differential Equations.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Numerical Methods for Ordinary Differential Equations

Reference 12

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This paper cites Accelerating Bayesian inference over nonlinear differential equations with Gaussian processes.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Accelerating Bayesian inference over nonlinear differential equations with Gaussian processes

Reference 13

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This paper cites Penalized Nonlinear Least Squares Estimation of Time-Varying Parameters in Ordinary Differential Equations.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Penalized Nonlinear Least Squares Estimation of Time-Varying Parameters in Ordinary Differential Equations

Reference 14

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This paper cites Neural Ordinary Differential Equations.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Neural Ordinary Differential Equations

Reference 15

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This paper cites Bayesian solution uncertainty quantification for differential equations.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Bayesian solution uncertainty quantification for differential equations

Reference 16

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This paper cites Statistical analysis of differential equations: introducing probability measures on numerical solutions.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Statistical analysis of differential equations: introducing probability measures on numerical solutions

Reference 17

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Observation ce1c20d6-9b15-4047-965e-1362578e5b42 · outbound

This paper cites simode: Statistical Inference for Systems of Ordinary Differential Equations using Separable Integral-Matching.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations simode: Statistical Inference for Systems of Ordinary Differential Equations using Separable Integral-Matching

Reference 18

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Observation 2232704c-81d0-440c-a30a-ae32c4cf0fc2 · outbound

This paper cites Bayesian numerical analysis.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Bayesian numerical analysis

Reference 19

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This paper cites ODE parameter inference using adaptive gradient matching with Gaussian processes.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations ODE parameter inference using adaptive gradient matching with Gaussian processes

Reference 20

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This paper cites A family of embedded Runge - Kutta formulae.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations A family of embedded Runge - Kutta formulae

Reference 21

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This paper cites Hybrid Monte Carlo.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Hybrid Monte Carlo

Reference 22

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Bayesian Data Analysis

Reference 23

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This paper cites Fast approximate Bayesian computation for estimating parameters in differential equations.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Fast approximate Bayesian computation for estimating parameters in differential equations

Reference 24

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This paper cites Mixed Variational Inference.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Mixed Variational Inference

Reference 25

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This paper cites Scalable variational inference for dynamical systems.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Scalable variational inference for dynamical systems

Reference 26

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This paper cites Numerical Methods for Ordinary Differential Equations: Initial Value Problems.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Numerical Methods for Ordinary Differential Equations: Initial Value Problems

Reference 27

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Array programming with NumPy

Reference 28

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Probabilistic numerics and uncertainty in computations

Reference 29

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations ODEPACK , a systematized collection of ODE solvers

Reference 30

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations CollocInfer: Collocation Inference in Differential Equation Models

Reference 31

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Discrete square root filtering: A survey of current techniques

Reference 32

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Active uncertainty calibration in Bayesian ODE solvers

Reference 33

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Differentiable Likelihoods for Fast Inversion of Likelihood-Free Dynamical Systems

Reference 34

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Convergence rates of Gaussian ODE filters

Reference 35

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This paper cites On Neural Differential Equations.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations On Neural Differential Equations

Reference 36

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Probabilistic ODE solutions in millions of dimensions

Reference 37

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Stable Implementation of Probabilistic ODE Solvers

Reference 38

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This paper cites a mer PN (2024). Implementing probabilistic numerical solvers for differential equations. Ph.D. thesis, Universit \.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations a mer PN (2024). Implementing probabilistic numerical solvers for differential equations. Ph.D. thesis, Universit \

Reference 39

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations B lackjax: A sampling library for JAX

Reference 40

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Multiphase MCMC sampling for parameter inference in nonlinear ordinary differential equations

Reference 41

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations deGradInfer: Parameter Inference for Systems of Differential Equation

Reference 42

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This paper cites A Practical Bayesian Framework for Backpropagation Networks.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations A Practical Bayesian Framework for Backpropagation Networks

Reference 43

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This paper cites Bayesian estimation of time-varying parameters in ordinary differential equation models with noisy time-varying covariates.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Bayesian estimation of time-varying parameters in ordinary differential equation models with noisy time-varying covariates

Reference 44

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This paper cites R package for statistical inference in dynamical systems using kernel based gradient matching: KGode.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations R package for statistical inference in dynamical systems using kernel based gradient matching: KGode

Reference 45

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Numerical Optimization

Reference 46

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Observation b8c001bc-f04e-4660-b91c-bde938bcdb49 · outbound

This paper cites Automatic selection of methods for solving stiff and nonstiff systems of ordinary differential equations.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Automatic selection of methods for solving stiff and nonstiff systems of ordinary differential equations

Reference 47

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This paper cites Multi-Level Modeling of Early COVID -19 Epidemic Dynamics in French Regions and Estimation of the Lockdown Impact on Infection Rate.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Multi-Level Modeling of Early COVID -19 Epidemic Dynamics in French Regions and Estimation of the Lockdown Impact on Infection Rate

Reference 48

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Probabilistic ODE solvers with Runge - Kutta means

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:27:03.355029Z

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Observation aa498f1e-499c-4987-bd63-f0ab258a5d5d · outbound

This paper cites A probabilistic model for the numerical solution of initial value problems.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations A probabilistic model for the numerical solution of initial value problems

Reference 50

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This paper cites FitzHugh--Nagumo Model , pp.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations FitzHugh--Nagumo Model , pp

Reference 51

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Observation 684b5d36-8bcd-445a-bf4d-cbd80e9b2938 · outbound

This paper cites Bayesian solution of ordinary differential equations.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Bayesian solution of ordinary differential equations

Reference 52

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This paper cites Stan Modeling Language Users Guide and Reference Manual.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Stan Modeling Language Users Guide and Reference Manual

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:27:03.197770Z

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This paper cites Probabilistic linear multistep methods.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Probabilistic linear multistep methods

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:27:03.029007Z

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This paper cites Fenrir : Physics-Enhanced Regression for Initial Value Problems.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Fenrir : Physics-Enhanced Regression for Initial Value Problems

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:27:02.814774Z

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Observation e321abb1-3963-4c6f-acab-800fa4172349 · outbound

This paper cites Probabilistic Solutions To Ordinary Differential Equations As Non-Linear Bayesian Filtering: A New Perspective.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Probabilistic Solutions To Ordinary Differential Equations As Non-Linear Bayesian Filtering: A New Perspective

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:26:59.897567Z

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Observation 45e8035e-3fbf-4947-837d-8ec9f285d07a · outbound

This paper cites Bayesian ODE solvers: the maximum a posteriori estimate.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Bayesian ODE solvers: the maximum a posteriori estimate

Reference 57

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Observation 401e3709-b12c-44b6-8ba5-76e38dcc86c0 · outbound

This paper cites pCODE: Estimation of an Ordinary Differential Equation Model by Parameter Cascade Method.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations pCODE: Estimation of an Ordinary Differential Equation Model by Parameter Cascade Method

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:27:02.645412Z

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Observation 3c5a798f-bece-470f-bb14-81e9453e8332 · outbound

This paper cites ProbNum: Probabilistic Numerics in Python.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations ProbNum: Probabilistic Numerics in Python

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:26:59.595483Z

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Observation 68fdb94c-6b86-47fd-93fd-d1bbb88837a3 · outbound

This paper cites Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:27:02.424283Z

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Observation 3114de77-09d9-4906-9bb8-b9ee63a77a56 · outbound

This paper cites Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:27:02.102597Z

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Observation e3755a42-137e-4697-820c-d83400676216 · outbound

This paper cites Inference of dynamic systems from noisy and sparse data via manifold-constrained Gaussian processes.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Inference of dynamic systems from noisy and sparse data via manifold-constrained Gaussian processes

Reference 62

Resolution: verified exact; doi, observed 2026-08-06T22:26:57.737703Z

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