Learning-Augmented Maximum Flow

26 July 2022

Papers citing "Learning-Augmented Maximum Flow"

6 / 6 papers shown

Title
Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Charupriya Sharma Iñaki Estella Aguerri Daniel Guimarans AI4TS 28 0 0 06 May 2025
Incremental Approximate Single-Source Shortest Paths with Predictions Samuel McCauley Benjamin Moseley Aidin Niaparast Helia Niaparast Shikha Singh CLL 60 1 0 12 Feb 2025
Algorithms for Caching and MTS with reduced number of predictions Karim Abdel Sadek Marek Elias 32 5 0 09 Apr 2024
Faster Discrete Convex Function Minimization with Predictions: The M-Convex Case Taihei Oki Shinsaku Sakaue 30 2 0 09 Jun 2023
$Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster $\text{L}$-/$\text{L}^\natural$-Convex Function Minimization$ Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster $\text{L}$ -/ $\text{L}^\natural$ -Convex Function Minimization Shinsaku Sakaue Taihei Oki 29 2 0 02 Feb 2023
On the Power of Learning-Augmented Search Trees Xinyuan Cao Jingbang Chen L. Chen Chris Lambert 27 1 0 16 Nov 2022