Paper Citation Record · LEDGER

Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming

As of 22 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2505.03552.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.03552 v2

Coverage vector

measured 40 of 40 reference resolution

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Reference resolution

40 of 40 outbound references displayed

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External citation measurements

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Outbound references

Observation bb8e25df-fb2b-4884-9b61-8874c4f2e557 · outbound

This paper cites Neural Ordinary Differential Equations.

Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Neural Ordinary Differential Equations

Reference 1

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Observation 77fb84dc-c8b1-4d49-afa5-41a6213e7d7d · outbound

This paper cites Closing the sim-to-real gap with physics-enhanced neural odes.

Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Closing the sim-to-real gap with physics-enhanced neural odes

Reference 2

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This paper cites Universal Differential Equations for Scientific Machine Learning.

Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Universal Differential Equations for Scientific Machine Learning

Reference 3

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Observation 41f47e04-7c17-4d5b-ad5e-4b8b4ce1330c · outbound

This paper cites Physics-enhanced neural ordinary differential equations: Application to industrial chemical reaction systems.

Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Physics-enhanced neural ordinary differential equations: Application to industrial chemical reaction systems

Reference 4

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This paper cites Modia and julia for grey box modeling.

Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Modia and julia for grey box modeling

Reference 5

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Observation 0f0ca104-c529-482f-a20b-f15688f3f5c6 · outbound

This paper cites Neuralfmu: Presenting a workflow for in- tegrating hybrid neuralodes into real-world applications.

Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Neuralfmu: Presenting a workflow for in- tegrating hybrid neuralodes into real-world applications

Reference 6

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Observation 3b529b37-b273-4d83-82f0-a496d48aa647 · outbound

This paper cites Maximizing information from chemical engineering data sets: Applications to machine learning.

Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Maximizing information from chemical engineering data sets: Applications to machine learning

Reference 7

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Observation 7b005c8b-edb5-4743-b25a-73c82015ec13 · outbound

This paper cites Capturing missing physics in climate model parameterizations using neural differential equations.

Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Capturing missing physics in climate model parameterizations using neural differential equations

Reference 8

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This paper cites Formulating data-driven surrogate models for process optimization.

Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Formulating data-driven surrogate models for process optimization

Reference 9

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This paper cites Accelerating neural odes using model order reduction.

Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Accelerating neural odes using model order reduction

Reference 10

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Observation 340aa682-cde3-4889-b04d-bae0d7fee7e6 · outbound

This paper cites Collocation based training of neural ordinary differential equations.

Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Collocation based training of neural ordinary differential equations

Reference 11

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Observation d08bf0f7-d1e6-415c-a38f-b255459e523d · outbound

This paper cites Training neural odes using fully discretized simultaneous optimization,.

Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Training neural odes using fully discretized simultaneous optimization,

Reference 12

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Reference 13

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This paper cites The openmodelica integrated environment for modeling, simulation, and model-based development.

Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming The openmodelica integrated environment for modeling, simulation, and model-based development

Reference 14

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This paper cites CasADi – A software framework for nonlinear optimization and optimal control.

Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming CasADi – A software framework for nonlinear optimization and optimal control

Reference 16

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This paper cites Patterson and Anil V.

Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Patterson and Anil V

Reference 17

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This paper cites Efficient imple- mentation of collocation methods for optimization using openmodelica and adol-c.

Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Efficient imple- mentation of collocation methods for optimization using openmodelica and adol-c

Reference 18

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This paper cites Dynamic optimization in jmodelica.org.

Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Dynamic optimization in jmodelica.org

Reference 19

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This paper cites Adaptively refined mesh for collocation-based dynamic optimization, 12 2024.

Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Adaptively refined mesh for collocation-based dynamic optimization, 12 2024

Reference 20

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Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Schneider and W

Reference 21

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Reference 22

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This paper cites Gill, Walter Murray, and Michael A.

Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Gill, Walter Murray, and Michael A

Reference 23

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Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Byrd, Jorge Nocedal, and Richard A

Reference 24

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Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Amestoy, Iain S

Reference 25

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Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming HSL: A collection of fortran codes for large-scale scientific computation

Reference 26

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Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Unresolved cited work

Reference 27

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This paper cites Dynamic optimization using local collocation methods and improved multiresolution technique.

Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Dynamic optimization using local collocation methods and improved multiresolution technique

Reference 28

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This paper cites Adaptive mesh refinement method for optimal control us- ing nonsmoothness detection and mesh size reduction.

Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Adaptive mesh refinement method for optimal control us- ing nonsmoothness detection and mesh size reduction

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Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Distributed optimization and statistical learning via the alternating direction method of multipliers

Reference 30

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Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Lueg, Victor Alves, Daniel Schicksnus, John R

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Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Generation of sparse jacobians for the function mock-up interface 2.0

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Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Parallel program- ming in OpenMP

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Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Simulated road profiles according to iso 8608 in vibration analysis

Reference 34

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Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Neural Network Library in Modelica

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Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Pseudo array causalization

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Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Compiler status and development of the new backend, 2025

Reference 37

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This paper cites URL https://doi.org/10.1137/1.9780898719383.

Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming URL https://doi.org/10.1137/1.9780898719383

Reference 2010

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Reference 2019

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Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Training Neural ODEs Using Fully Discretized Simultaneous Optimization

Reference 2025

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