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RAYEN: Imposition of Hard Convex Constraints on Neural Networks

RAYEN: Imposition of Hard Convex Constraints on Neural Networks

17 July 2023
J. Tordesillas
Jonathan P. How
Marco Hutter
ArXiv (abs)PDFHTML

Papers citing "RAYEN: Imposition of Hard Convex Constraints on Neural Networks"

13 / 13 papers shown
Title
ECO: Energy-Constrained Operator Learning for Chaotic Dynamics with Boundedness Guarantees
Andrea Goertzen
Sunbochen Tang
Navid Azizan
60
0
0
01 Dec 2025
Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch
Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch
Michael Klamkin
Mathieu Tanneau
Pascal Van Hentenryck
124
0
0
17 Oct 2025
Enforcing convex constraints in Graph Neural Networks
Enforcing convex constraints in Graph Neural Networks
Ahmed Rashwan
Keith Briggs
Chris Budd
L. Kreusser
76
0
0
13 Oct 2025
Pinet: Optimizing hard-constrained neural networks with orthogonal projection layers
Pinet: Optimizing hard-constrained neural networks with orthogonal projection layers
Panagiotis D. Grontas
Antonio Terpin
Efe C. Balta
Raffaello DÁndrea
John Lygeros
124
3
0
14 Aug 2025
Learning to Solve Constrained Bilevel Control Co-Design Problems
Learning to Solve Constrained Bilevel Control Co-Design Problems
James Kotary
Himanshu Sharma
Ethan King
D. Vrabie
Ferdinando Fioretto
Ján Drgoňa
83
0
0
11 Jul 2025
FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees
FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees
Hoang T. Nguyen
Priya L. Donti
142
2
0
31 May 2025
Learning to Optimize for Mixed-Integer Non-linear Programming
Learning to Optimize for Mixed-Integer Non-linear Programming
Bo Tang
Elias Boutros Khalil
Ján Drgoňa
568
6
0
14 Oct 2024
TL-PCA: Transfer Learning of Principal Component Analysis
TL-PCA: Transfer Learning of Principal Component Analysis
Sharon Hendy
Yehuda Dar
404
4
0
14 Oct 2024
GLinSAT: The General Linear Satisfiability Neural Network Layer By
  Accelerated Gradient Descent
GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient DescentNeural Information Processing Systems (NeurIPS), 2024
Hongtai Zeng
Chao Yang
Yanzhen Zhou
Cheng Yang
Qinglai Guo
214
3
0
26 Sep 2024
Compact Optimality Verification for Optimization Proxies
Compact Optimality Verification for Optimization Proxies
Wenbo Chen
Haoruo Zhao
Mathieu Tanneau
Pascal Van Hentenryck
252
2
0
31 May 2024
CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning
CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning
Kota Kondo
Andrea Tagliabue
Xiaoyi Cai
Claudius T. Tewari
Olivia Garcia
Marcos Espitia-Alvarez
Jonathan P. How
252
20
0
02 May 2024
POLICEd RL: Learning Closed-Loop Robot Control Policies with Provable
  Satisfaction of Hard Constraints
POLICEd RL: Learning Closed-Loop Robot Control Policies with Provable Satisfaction of Hard Constraints
Jean-Baptiste Bouvier
Kartik Nagpal
Negar Mehr
266
5
0
20 Mar 2024
Dual Lagrangian Learning for Conic Optimization
Dual Lagrangian Learning for Conic OptimizationNeural Information Processing Systems (NeurIPS), 2024
Mathieu Tanneau
Pascal Van Hentenryck
218
8
0
05 Feb 2024
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