LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization | Paper Citation Record

Observation 9e73357f-92f7-43e3-b71c-f9804713f073 · outbound

This paper cites Learning to optimize: A primer and a benchmark,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Learning to optimize: A primer and a benchmark,

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This paper cites Learning to optimize in model predictive control,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Learning to optimize in model predictive control,

Reference 2

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This paper cites Admm-based algorithm for training fault tolerant rbf networks and selecting centers,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Admm-based algorithm for training fault tolerant rbf networks and selecting centers,

Reference 3

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This paper cites Collision-free minimum-time trajectory planning for mul- tiple vehicles based on admm,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Collision-free minimum-time trajectory planning for mul- tiple vehicles based on admm,

Reference 4

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This paper cites Communication- efficient ADMM using Gaussian process regression and fully adaptive uniform quantization,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Communication- efficient ADMM using Gaussian process regression and fully adaptive uniform quantization,

Reference 5

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This paper cites Des-inspired accelerated unfolded linearized admm networks for inverse problems,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Des-inspired accelerated unfolded linearized admm networks for inverse problems,

Reference 6

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Observation e9a4b3b4-f30d-49fa-aa9e-8a826ffa9501 · outbound

This paper cites ADMM Enhancement Techniques for Distributed Optimal Power Flow,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization ADMM Enhancement Techniques for Distributed Optimal Power Flow,

Reference 7

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This paper cites Qc-odkla: Quantized and communication- censored online decentralized kernel learning via lin- earized admm,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Qc-odkla: Quantized and communication- censored online decentralized kernel learning via lin- earized admm,

Reference 8

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This paper cites StructADMM: Achieving ultrahigh efficiency in structured pruning for DNNs,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization StructADMM: Achieving ultrahigh efficiency in structured pruning for DNNs,

Reference 9

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Observation 38967280-508a-4796-8ebd-47a107673d11 · outbound

This paper cites Connectivity-preserving distributed informative path planning for mo- bile robot networks,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Connectivity-preserving distributed informative path planning for mo- bile robot networks,

Reference 10

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This paper cites Machine learning for combinato- rial optimization: a methodological tour d’horizon,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Machine learning for combinato- rial optimization: a methodological tour d’horizon,

Reference 11

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Observation 683c457b-6b2c-49ff-9b7e-679974150689 · outbound

This paper cites Koziel and L.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Koziel and L

Reference 12

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Observation 6d06e593-1131-4672-b542-d62eec9b5335 · outbound

This paper cites Learning optimal solutions for extremely fast ac optimal power flow,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Learning optimal solutions for extremely fast ac optimal power flow,

Reference 13

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Observation 7ce1b743-e9cc-4d3e-b9c6-1a852b2d1234 · outbound

This paper cites Constrained neural networks for approximate nonlinear model predictive control,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Constrained neural networks for approximate nonlinear model predictive control,

Reference 14

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Observation 9980f652-239a-4a52-9fb6-df8f1d5ee96e · outbound

This paper cites KKT-based optimality conditions for neural network approximation.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization KKT-based optimality conditions for neural network approximation

Reference 15

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Observation ab95721e-1fcf-4252-9c4d-601e2e1b5780 · outbound

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LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization DC3: A learning method for optimization with hard constraints,

Reference 16

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LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization FSNet: Feasibility-seeking neural network for constrained optimization with guarantees,

Reference 17

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Observation f0b6a287-3bd8-4f35-bc01-c9e51fdda861 · outbound

This paper cites Learning warm-start points for AC Optimal Power Flow,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Learning warm-start points for AC Optimal Power Flow,

Reference 18

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Observation bcb4e674-56c6-4cf5-ae8a-23aca9a2d6dd · outbound

This paper cites Learning to warm- start fixed-point optimization algorithms,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Learning to warm- start fixed-point optimization algorithms,

Reference 19

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This paper cites Learning for constrained optimization: Identifying optimal active constraint sets,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Learning for constrained optimization: Identifying optimal active constraint sets,

Reference 20

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This paper cites One network to solve them all — solving linear inverse problems using deep projection models,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization One network to solve them all — solving linear inverse problems using deep projection models,

Reference 21

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This paper cites Learning proximal operators: Using denoising networks for regularizing inverse imaging problems,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Learning proximal operators: Using denoising networks for regularizing inverse imaging problems,

Reference 22

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This paper cites Deep ADMM-Net for compressive sensing MRI,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Deep ADMM-Net for compressive sensing MRI,

Reference 23

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LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization ADMM-CSNet: A deep learning approach for image compressive sensing,

Reference 24

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Observation fb6dfc1e-ee30-44d6-8a2e-dc16d30bce80 · outbound

This paper cites Learning to learn by gradient descent by gradient descent,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Learning to learn by gradient descent by gradient descent,

Reference 25

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LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Learning to learn without gradient descent by gradient descent,

Reference 26

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This paper cites Self-supervised primal-dual learning for constrained optimization,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Self-supervised primal-dual learning for constrained optimization,

Reference 27

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LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Min and N

Reference 28

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LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Unresolved cited work

Reference 29

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This paper cites Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers,

Reference 30

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This paper cites A general analysis of the convergence of ADMM,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization A general analysis of the convergence of ADMM,

Reference 31

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This paper cites Operator-splitting methods for monotone affine variational inequalities, with a parallel application to optimal control,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Operator-splitting methods for monotone affine variational inequalities, with a parallel application to optimal control,

Reference 32

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LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Unresolved cited work

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LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Unresolved cited work

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This paper cites Learning proximal operators with gaussian processes,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Learning proximal operators with gaussian processes,

Reference 35

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LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Input convex neural networks,

Reference 36

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This paper cites Strongly Convex Functions, Moreau En- velopes, and the Generic Nature of Convex Functions with Strong Minimizers,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Strongly Convex Functions, Moreau En- velopes, and the Generic Nature of Convex Functions with Strong Minimizers,

Reference 37

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LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Osqp: An operator splitting solver for quadratic programs,

Reference 38

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This paper cites Lipschitz regularity of deep neural net- works: analysis and efficient estimation,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Lipschitz regularity of deep neural net- works: analysis and efficient estimation,

Reference 39

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LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Efficient and accurate estimation of lipschitz constants for deep neural networks,

Reference 40

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This paper cites Model predictive control: Recent developments and future promise,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Model predictive control: Recent developments and future promise,

Reference 41

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This paper cites On the implementation of an interior- point filter line-search algorithm for large-scale nonlinear programming,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization On the implementation of an interior- point filter line-search algorithm for large-scale nonlinear programming,

Reference 42

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LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization GPU-accelerated dynamic nonlinear optimiza- tion with ExaModels and MadNLP,

Reference 43

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This paper cites The MOSEK interior point opti- mizer for linear programming: an implementation of the homogeneous algorithm,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization The MOSEK interior point opti- mizer for linear programming: an implementation of the homogeneous algorithm,

Reference 44

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LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Clarabel: An interior-point solver for conic programs with quadratic objectives

Reference 45

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This paper cites Economic model predictive control for time-varying cost and peak demand charge optimization,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Economic model predictive control for time-varying cost and peak demand charge optimization,

Reference 46

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Observation 9dcbcd7e-e4d9-460f-9749-5fbe96eb6e69 · outbound

This paper cites Economic MPC with an Online Reference Trajectory for Battery Scheduling Considering Demand Charge Management,.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Economic MPC with an Online Reference Trajectory for Battery Scheduling Considering Demand Charge Management,

Reference 47

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LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Boyd and L

Reference 48

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LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Computing minimum-volume enclosing ellipsoids,

Reference 49

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LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Unresolved cited work

Reference 50

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LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Borwein and A

Reference 51

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This paper cites Based on Lemma 6, the ME is a special case of infimal convolution with the functionq λ(x) = 1 2λ ∥x∥2.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Based on Lemma 6, the ME is a special case of infimal convolution with the functionq λ(x) = 1 2λ ∥x∥2

Reference 52

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This paper cites Hence,M λf=g.

LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Hence,M λf=g

Reference 53

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