Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep
Learning Method

Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method

12 October 2021

Ferdinando Fioretto

Pascal Van Hentenryck

Papers citing "Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method"

7 / 7 papers shown

Title
Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models Jinhao Liang Jacob K Christopher Sven Koenig Ferdinando Fioretto 72 1 0 05 Feb 2025
Approximating Solutions to the Knapsack Problem using the Lagrangian Dual Framework Mitchell Keegan Mahdi Abolghasemi 46 0 0 06 Dec 2023
Predict-Then-Optimize by Proxy: Learning Joint Models of Prediction and Optimization James Kotary Vincenzo Di Vito Jacob K Christopher Pascal Van Hentenryck Ferdinando Fioretto 29 3 0 22 Nov 2023
Data-driven decision-focused surrogate modeling Rishabh Gupta Qi Zhang OffRL AI4CE 19 12 0 23 Aug 2023
Self-Supervised Primal-Dual Learning for Constrained Optimization Seonho Park Pascal Van Hentenryck 20 45 0 18 Aug 2022
Solving Mixed Integer Programs Using Neural Networks Vinod Nair Sergey Bartunov Felix Gimeno Ingrid von Glehn Pawel Lichocki ... Pushmeet Kohli Ira Ktena Yujia Li Oriol Vinyals Yori Zwols 104 238 0 23 Dec 2020
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods Ferdinando Fioretto Terrence W.K. Mak Pascal Van Hentenryck AI4CE 76 160 0 19 Sep 2019