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PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection

As of 9 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2606.10682.

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pith.paper-citation-record.v1
2606.10682 v1

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measured 26 of 26 reference resolution

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26 of 26 outbound references displayed

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Outbound references

Observation 30a91906-b43b-4955-88e3-487642903623 · outbound

This paper cites Overview of surrogate modeling in chemical process engineering.Chemie Ingenieur T echnik, 91(3):228–239, 2019.

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection Overview of surrogate modeling in chemical process engineering.Chemie Ingenieur T echnik, 91(3):228–239, 2019

Reference 1

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Observation b261dca6-50e1-416f-8558-f09ea52bc8c7 · outbound

This paper cites Formulating data-driven surrogate models for process opti- mization.Computers & Chemical Engineering, 179:108411, 2023.

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection Formulating data-driven surrogate models for process opti- mization.Computers & Chemical Engineering, 179:108411, 2023

Reference 2

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This paper cites Advances in surrogate based modeling, feasibility analysis, and optimization: A review.Computers & Chemical Engineering, 108:250–267, 2018.

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection Advances in surrogate based modeling, feasibility analysis, and optimization: A review.Computers & Chemical Engineering, 108:250–267, 2018

Reference 3

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Observation f4d63fca-5666-4370-91d5-0c926a8dcb8d · outbound

This paper cites Perspectives on the integration between first-principles and data-driven modeling.Computers & Chemical Engineering, 166:107898, 2022.

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection Perspectives on the integration between first-principles and data-driven modeling.Computers & Chemical Engineering, 166:107898, 2022

Reference 4

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Observation 729becbc-bb0a-4df7-8097-639641da2c19 · outbound

This paper cites Selection of surrogate modeling techniques for surface approximation and surrogate-based optimization.Chemical Engineering Research and Design, 170:76–89, 2021.

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection Selection of surrogate modeling techniques for surface approximation and surrogate-based optimization.Chemical Engineering Research and Design, 170:76–89, 2021

Reference 5

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Observation 710ab06b-8979-4028-8d02-7e00eaa1689d · outbound

This paper cites Physics-informed neural networks with hard linear equality constraints.Computers & Chemical Engineering, 189:108764, 2024.

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection Physics-informed neural networks with hard linear equality constraints.Computers & Chemical Engineering, 189:108764, 2024

Reference 6

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Observation bf0e68ae-cc6e-4d65-9b0a-5e75ad5c9a66 · outbound

This paper cites Integration of planning, scheduling and control prob- lems using data-driven feasibility analysis and surrogate models.Computers & Chemical Engi- neering, 134:106714, 2020.

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection Integration of planning, scheduling and control prob- lems using data-driven feasibility analysis and surrogate models.Computers & Chemical Engi- neering, 134:106714, 2020

Reference 7

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Observation 57d19760-f6ee-4623-adfc-22aadf3568a3 · outbound

This paper cites Surrogate modeling and surrogate- based optimization with stochastic simulations.

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection Surrogate modeling and surrogate- based optimization with stochastic simulations

Reference 8

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Observation d00ec397-6d09-40ad-8d3c-6d1fce06a72d · outbound

This paper cites Approximation by superpositions of a sigmoidal function.Mathematics of control, signals and systems, 2(4):303–314, 1989.

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection Approximation by superpositions of a sigmoidal function.Mathematics of control, signals and systems, 2(4):303–314, 1989

Reference 9

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Observation 3f6d584b-d916-4b7f-bdc0-8e513ecdc38e · outbound

This paper cites Multilayer feedforward networks are universal approximators.Neural networks, 2(5):359–366, 1989.

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection Multilayer feedforward networks are universal approximators.Neural networks, 2(5):359–366, 1989

Reference 10

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Observation a3304386-6704-4dce-8c9b-5337d23a01d3 · outbound

This paper cites Surrogate-based optimization for mixed-integer nonlinear problems.Computers & Chemical Engineering, 140:106847, 2020.

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection Surrogate-based optimization for mixed-integer nonlinear problems.Computers & Chemical Engineering, 140:106847, 2020

Reference 11

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Observation 6630ec5c-677e-40a5-bf46-654600ce3488 · outbound

This paper cites Physics-constrained machine learning for chemical engineering.Current Opinion in Chemical Engineering, 51:101228, 2026.

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection Physics-constrained machine learning for chemical engineering.Current Opinion in Chemical Engineering, 51:101228, 2026

Reference 12

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PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection Unresolved cited work

Reference 13

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Observation 9a70ab7d-a111-4e0a-983b-45895d59efeb · outbound

This paper cites Data-driven strategies for optimization of integrated chemical plants.Computers & Chemical Engineering, 166:107961, 2022.

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection Data-driven strategies for optimization of integrated chemical plants.Computers & Chemical Engineering, 166:107961, 2022

Reference 14

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Observation b4f15f26-afe9-4cda-8446-f345cfe82daf · outbound

This paper cites Enforcing analytic constraints in neural networks emulating physical systems.Physical review letters, 126(9):098302, 2021.

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection Enforcing analytic constraints in neural networks emulating physical systems.Physical review letters, 126(9):098302, 2021

Reference 15

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Observation bb1a457d-68f9-4408-adb9-f8bcd416b976 · outbound

This paper cites Optnet: Differentiable optimization as a layer in neural net- works.

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection Optnet: Differentiable optimization as a layer in neural net- works

Reference 16

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Observation 46705d2f-da93-42bb-a0e6-1f217a569051 · outbound

This paper cites Differentiable convex optimization layers.Advances in neural information processing sys- tems, 32, 2019.

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection Differentiable convex optimization layers.Advances in neural information processing sys- tems, 32, 2019

Reference 17

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PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection Min and N

Reference 18

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Reference 19

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This paper cites Picard-KKT-hPINN: Enforcing Nonlinear Enthalpy Balances for Physically Consistent Neural Networks.

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection Picard-KKT-hPINN: Enforcing Nonlinear Enthalpy Balances for Physically Consistent Neural Networks

Reference 20

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This paper cites ENFORCE: Nonlinear Constrained Learning with Adaptive-depth Neural Projection.

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection ENFORCE: Nonlinear Constrained Learning with Adaptive-depth Neural Projection

Reference 21

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Observation 2c323fe9-bf0c-437a-8e53-53e9c0b4fa1b · outbound

This paper cites Physics-informed neural networks with hard nonlinear equality and inequality constraints.Computers & Chemical Engineering, page 109418, 2025.

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection Physics-informed neural networks with hard nonlinear equality and inequality constraints.Computers & Chemical Engineering, page 109418, 2025

Reference 22

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This paper cites Linear model decision trees as surrogates in optimization of engineering applications.Computers & Chemical Engineering, 178:108347, 2023.

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection Linear model decision trees as surrogates in optimization of engineering applications.Computers & Chemical Engineering, 178:108347, 2023

Reference 23

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This paper cites Piecewise-linear approximations of multidimensional func- tions.Journal of optimization theory and applications, 145(1):120–147, 2010.

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection Piecewise-linear approximations of multidimensional func- tions.Journal of optimization theory and applications, 145(1):120–147, 2010

Reference 24

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This paper cites Sensitivity analysis of composite piecewise smooth equations.

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection Sensitivity analysis of composite piecewise smooth equations

Reference 25

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This paper cites Zavala.Statistics for Chemical Engineers.

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection Zavala.Statistics for Chemical Engineers

Reference 26

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